III.10) Técnicas Inteligentes em Aprendizado do Máquina
4. Publicações
Books : 01
1. Braga, A. P., Carvalho, A . P. L. e Ludermir, T. B.(1998)
Fundamentos de Redes Neurais. Livro publicado na XII Escola de Computação. Rio de Janeiro, 13-17 de julho de 1998. Revised version published by Livros Técnicos e Científicos (LTC), 1999.
Papers in International Journals: 11
2. C.R.H. Barbosa, A.C. Bruno, M.M.B.R. Vellasco, M.A.C. Pacheco, J.P.
Wikswo Jr., A. P. Ewing, C.S. Camerini, Automation of SQUID Nondestructive Evaluation of Steel Plates by Neural Networks, IEEE Transactions on Applied Superconductivity, IEEE Inc. 1999.
3. Carvalho L. A. V., "Modelling Distributed Concept Representation in Hopfield Neural Networks", Mathematical and Computer
Modelling, accepted for publication.
4. Garcez, A. S., Zaverucha, G. 1999. A Connectionist Inductive Learning and Logic Programming System. Accepted in Applied Intelligence Journal, Kluwer, special volume on Neural Networks and Structured Knowledge.
5. Grossberg, S., & Pessoa, L. (1998). Texture segregation, surface representation, and figure-ground separation. Vision Research, 38, 2657-2684.
6. Ludermir, T.B., Carvalho, A.P.L, Braga, A.P. e de Souto, M. (1998) Weightless Neural Models: a review of current and past works.
Neural Computing Surveys, vol 2, p 41-61. ISBN:1093-7609.
7. Ricardo J. Machado e Armando F. da Rocha, Inference, Inquiry, Evidence Censorship, and Explanation in Connectionist Expert Systems, IEEE Transactions on Fuzzy Systems, Vol. 5, N. 03, pp.
443-459, agosto de 1997.
8. Ricardo J. Machado, Valmir C. Barbosa, and Paulo A. Neves,
"Learning in the combinatorial neural model," IEEE Trans. on Neural Networks, 9 (1998), 831-847.
9. Nobre, C.N., Braga, A.P., Carvalho, A.P.L. e Ludermir, T.B. (1999) Rule extraction: A comparison between classic and conexionist methods. To appear in the International Journal of Neural Systems.
10. Pessoa, L., Mingolla, E., and Neumann, H. (1995). A contrast- and luminance-driven multiscale network model of brightness perception. Vision Research, 35, 2201-2223.
11. Pinto de Melo, C., Santos, F.L., Souza, B.B., Santos, M.S. e Ludermir, T.B. (1998) Polypyrrole Based Aroma Sensor.
12. F. Protti and G. Zaverucha, "Recognizing Classes of Logic
Programs", Journal of the IGPL, Vol 5, Number 6, November 1997, pp. 913-915.
Book Chapters:07
13. F. Baiao, M. Mattoso and G. Zaverucha, " A Knowledge-Based Perspective of the Distributed Design of Object Oriented
databases", Ed. Nelson F. Ebecken, Data Mining, pp. 383-399, WIT Press, England, 1998.
14. Hall Barbosa, A.C. Bruno, Marley Vellasco, Marco Pacheco e C.S. Camerini, Automation of Electric Current Injection NDE by Neural Networks, Editors D.
Thompson e D.E. Himenti, in Review of Progress in Quantitative Nondestructive Evaluation, Vol. 16, pp. 789-795, Plenum Press, NY, EUA, 1997
15. Braga, A.P., Carvalho, A.P.L. e Ludermir, T.B. (1999) Radial Basis Functions: Theory and Aplications. In Nonlinear Modelling and Forescasting of High Frequency Financial and Economic Time Series, Soofi, A.S. and Cao, L. editors, Kluver.
16. Carvalho, A.P.L., Braga, A.P., e Ludermir, T.B (1999) Input-output modeling of credit approval data-set using neural data mining set. In Nonlinear Modelling and Forescasting of High Frequency Financial and Economic Time Series, Soofi, A.S. and Cao, L. editors, Kluver.
17. De Souto, M.C.P., Ludermir, T.B. e De Oliveira, W.R. (1998) Synthesis of Probabilistic Automata in pRAM Neural Networks-vol II ( com 1198 páginas), editado por Niklasson, L., Bodén, M., e Ziemke, T., pp. 603-608. Springer Verlag.
18. Ludermir, T.B., Braga, A.P., Nobre, C.N e Carvalho, A.P.L. (1998) Extracting Rules from Neural Networks: A Data Mining Approach.
No livro Data Mining editado por Nelson Ebecken. WIT Press, Computational Mechanics Publication. Southhampton, England.
Setembro de 1998, p. 303-314.
19. Santos, M.S., Ludermir, T.B., Santos, F.L., Pinto de Melo, C. e Gomes, J.E. (1998), Artificial Nose and Data Analysis using Multi Layer Perceptron. No livro Data Mining editado por Nelson Ebecken. WIT Press, Computational Mechanics Publication.
Southhampton, England. Setembro de 1998, p. 251-264.
Papers in International Conferences: 47
20. Baião, F., Mattoso, M. and Zaverucha, G. 1998. Towards an Inductive Design of Distributed Object Oriented Databases. Proc. of the Third IFCIS Conference on Cooperative Information Systems (COOPIS’98), IEEE Computer Society, New York, USA, August 20-22, pp.188-197.
21. F. Baiao, M. Mattoso and G. Zaverucha, 1998"Issues in Knowledge Discovery in Databases, Proc. World Multiconference on Systemics, Cybernetics and Informatics / Fourth International Conference on On Information Systems, Analysis and
Synthesis, Vol. 2 pp. 164-169. (SCI’98), Orlando, Florida, USA, July.
22. Barros, M.M., Souza, G.M. e Ludermir, T.B. (1998) Features extraction on boolean artificial neural networks. 3rd Internacional Conference on Computational Intelligence and Neuroscience.
Carolina do Norte, USA, 23-28 de outubro de 1998, p. 99-102, Association For Intelligent Machinery.
23. Barros, M.M., Ludermir, T.B. e Valadares, J.F.L. (1999) Rule Extraction from boolean artificial neural networks. Aceito na International Joint Conference on Neural Networks 1999, Washington (July 1999). INNS Press.
24. R. Basilio, G. Zaverucha and A. Garcez, 1998 " Inducing
Relational Concepts with Neural Networks Via the LINUS System", Proc. Fifth International Conference on Neural Information
Processing (ICONIP’98), Vol. 3 pp. 1507-1510, 21-23 October, Kitakyushu, Japan.
25. Luiz Biondi Neto, Marco Aurélio Pacheco, Marley M.B. R.
Vellasco, Emmanuel P. Lopes Passos e Luis Chiganer, Hybrid
System for Detection and Diagnosis of Fault in Electrical Networks, XII ISCIS - The Twelfth International Symposium on Computer and Information Sciences, Antalya, Turquia, 27-29 October 1997.
26. Luiz Biondi Neto, Marco Aurélio Pacheco, Marley M.B. R.
Vellasco, Emmanuel P. Lopes Passos e Luis Chiganer, Hybrid
System for Detection and Diagnosis of Fault in Electrical Networks, XII ISCIS - The Twelfth International Symposium on Computer and Information Sciences, Antalya, Turquia, 27-29 de outubro de 1997.
27. de Oliveira, W. R. (1996). Program Schemes over Continuous Algebras.Computability and Complexity in Analysis’ 96, Trier, Alemanha, 1996.
28. de Oliveira, W. R. e de Barros, R. S. M. (1997). The Real
Numbers in Z. Proceedings of the 2nd BCS-FACS Norther in Formal Methods Workshop, Ikley 1997, D.J. Duke and A.S. Evans (Eds).
Eletronic Workshops in Computing:
http://rwic.springer.co.uk/Springer
29. De Souto, M. C. P., Ludermir, T. B. e De Oliveira, W. R. (1998) Synthesis of Probabilistic Automata in pRAM Neural Networks. Nos Anais do ICANN98. Suécia, 2-4 de setembro de 1998.
30. Exel, S., & Pessoa, L. (1998). Attentive visual recognition.
Proceedings of the International Conference on Pattern Recognition, August 16-20th, Brisbane, Australia.
31. Fogel, L., Zaverucha, G. 1998. Normal Programs and Multiple Predicate Learning. International Conference on Inductive Logic Programming (ILP’98), Lecture Notes in Artificial Intelligence (LNAI), Springer Verlag. Madison - Wisconsin, USA, 22-24 July 1998.
32. Garcez, A.S., Zaverucha, G, Silva, V.N.A.L 1997. Applying the Connectionist Inductive Learning and Logic Programming System to Power Systems Diagnosis. Proceedings of the IEEE International Conference on Neural Networks (ICNN-97), 9-12 June, Houston, Texas, USA, Vol.1 pp.121-126 .
33. Garcez, A.S., Zaverucha, G, Carvalho, L.A. 1997. Logic
Programming and Inductive Learning in Artificial Neural Networks.
Knowledge Representation in Neural Networks, pp. 33-46, Logos-Verlag Berlin, ISBN 3-931216-77-2.
34. Garcez, A.S., Zaverucha, G, Carvalho, L.A. 1996. Logical
Inference and Inductive Learning in Artificial Neural Networks. XII European Conference of Artificial Intelligence, ECAI96, Workshop on Neural Network and Structural Knowledge, August 12-16, Budapest, Hungary, pp. 41-49.
35. Anchizes do E.L. Gonçalves Filho, Marley M.B.R. Vellasco e Marco A.C. Pacheco, Neural Networks and Invariant Moments for Noisy Images Recognition,
International Conference on Engineering Applications of Neural Networks (EANN'98), Gibraltar, 10-12 June 1998.
36. N. Hallack, G. Zaverucha and V. Barbosa, 1998 " Towards a Hybrid Model of First-Order Theory Refinement", presented in Neural Information Processing Systems (NIPS)/ Workshop on Hybrid Neural Symbolic Integration , 4-5 December, Breckenridge, Colorado, USA. To appear as LNAI, Springer Verlag, 1999.
37. Kilkerry Neto, A., Zaverucha, G, Carvalho, L.A. 1999. An Implementation of a Theorem Prover in Symmetric Neural Networks. Accepted in International Joint Conference on Neural Networks 1999, Washington (July 1999). INNS Press.
38. Lima, P. M. V.,"Towards Neural Computation of REFORMed Programs", Proceedings of the Workshop on High Performance Logic Programming Systems, European Summer School on Logic, Languages and Implementation (ESSLLI'96), Prague, 1996,
August.
39. Ludermir, T.B. e de Oliveira, W.R (1998) Extractin Rules from Boolean Neural Networks. Nos anais do ICONIP98. Kitakyushu-Japão, 21-23 de outubro de 1998, pp.1666-69, IOS Press.
40. R Menezes, G. Zaverucha and V. Barbosa, 1998 " A Penalty-Function Approach to Rule extraction from Knowledge-Based Neural Networks", in Proc. Fifth
International Conference on Neural Information Processing (ICONIP’98), Vol. 3 pp. 1497-1500, 21-23 October, Kitakyushu, Japan.
41. Nehme, C. C., Carvalho, L. A. V., Mendes, S. B. T., “A Temporal Model to Storage Spatiotemporal Pattern Memory in Shunting Cooperative Competitive Network", in SpatioTemporal Models in Biological and Artificial Systems, Eds. Silva, F L, Principe J C, Almeida L B, IOS Press, Washington D.C., Jan. 1998
42. Nehme, C., C., Fuks, S. and Meirelles, M. 1988 A GIS Expert System for Land Evaluation. GisPlanet´98, Lisbon, Portugal.
43. Guilherme F. Ribeiro, Victor N. A. L. da Silva, Plutarcho Lourenço, Ricardo Linden – Comparative Studies of Short-Term Load Forecasting Using Hybrid Neural Networks - International Symposium on Forecasting – Barbados
44. Luiz Sabino Ribeiro Neto, Marley M. Vellasco, Marco Aurélio Pacheco e Ricardo Zebulum, Very Short Term Load Forecasting System Using Neural Networks, The Seventeenth Annual
International Symposium on Forecasting, pp. 51, Barbados, 19-21 de Junho de 1997.
45. Pessoa, L., Exel, S., Roque, A., & Leitao, A.P. (1998a). Attentive visual recognition for scene exploration. Proceedings of the
International Conference on Neural Information Processing, Kitakyushu, Japan, October 21-23, pp. 1291-1294.
46. Pessoa, L., Exel, S., Roque, A., & Leitao, A.P. (1998b). Active scene exploration vision system. Proceedings of the International Conference on Neural Networks and Brain, Beijing, China, October, 27-30, pp. 543-546.
47. Pinto de Melo, C. , Santos, F. L., Souza, B.B., Santos, M. S. e Ludermir, T. B. (1998) Polypyrrole Based Aroma Sensor. Nos anais da International Conference of Synthetic Metals, França, junho de 1998.
48. F. Protti and G. Zaverucha, 1998 "On the Relations Between Acceptable Programs and Stratifiable Classes", Proc. of the 14th Brazilian Symposium on Artificial Intelligence (SBIA-98), Porto Alegre, Brazil, November, LNAI 1515, Springer Verlag, pp. 141-150.
49. Santos, M. S., Ludermir, T. B., Santos, F.L., Pinto de Melo, C. e Gomes, J.E. (1998) Artificial Nose and Data Analusis using Multi Layer Perceptron. Nos anais da International Conference of Data Mining. Computational Mechanics Publication. Southhampton, England. Setembro de 1998.
50. Santos Costa, V. and Bianchini, R. and Dutra, I. C., "Evaluating the Impact of Coherence Protocols on Parallel Logic Programming Systems", pp. 376--381, 1997, Proceedings of the 5th EUROMICRO Workshop on Parallel and Distributed Processing, Also available as technical report ES-389/96, COPPE/Systems Engineering, May, 1996.
51. Santos Costa, V. and Bianchini and Dutra, I. C., "Parallel Logic Programming Systems on Scalable Multiprocessors", Proceedings of the 2nd International Symposium on Parallel Symbolic
Computation, PASCO'97, 1997, July, pp. 58--67.
52. Victor N. A. L. Da Silva, Ricardo S. Zebulum 1996. "An
Integration of Neural Networks and Fuzzy Logic for Power Systems Diagnosis " Proceedings from Intelligent Systems Applications to Power Systems, Janeiro 96, Orlando, Florida, USA .
53. Victor N. A. L. Da Silva, Guilherme F. Ribeiro, Celia Regina S. H.
Lourenco 1997. "Sistema Hibrido Inteligente para Diagnose no Sistema Eletrico" Anais do VII Encontro Regional Latino-americano da CIGRE, Maio de 1997, Puerto Iguazu, Argentina.
54. M.A. Teixeira, G. Zaverucha, Silva, V. N. and Ribeiro, G.F. 1999.
“Evaluation and Comparison of Different Architectures Using
Elman Networks Applied to Electric Load Forecasting”, in the Proc.
of the IEEE International Conference on Intelligent Systems Applications to Power Systems (ISAP’99), 4-8 April, pp. 3-7.
55. M.A. Teixeira, G. Zaverucha, Silva, V. N. and Ribeiro, G.F. 1999.
Recurrent Neural Gas. Accepted in International Joint Conference on Neural Networks 1999, Washington (July 1999). INNS Press.
56. Carlos E. Thomaz, Marco Aurélio C. Pacheco, Marley Vellasco,
“Mobile Robot Path Planning Using Genetic Algorithms”, IWANN99:
5th International Work-Conference on Artificial and Natural Neural
Networks, Invited Section: Optimization Techniques Based on Genetic Algorithms, Alicante, Spain, June 2-4 1999.
57. Rozenthal, M., Engelhardt, E., Carvalho, L.AV., Laks, J., The Neuropsychological Features of Schizophrenia Using Neural Networks: Correlation with Psychopathology World Regional Congress of Biological Psychiatry, Brazil, October 1998.
58. Valença, M.J.S. e Ludermir, T.B. (1999) Neural networks with genetic algorithm for input selection. Aceito na International Joint Conference on Neural Networks 1999, Washington (July 1999).
INNS Press.
59. Valença, M.J.S. e Ludermir, T.B. (1999) Self-organization sigmoidal blocks networks. Aceito na International Joint
Conference on Neural Networks 1999, Washington (July 1999).
INNS Press.
60. Valença, M.J.S. e Ludermir, T.B. (1999) Multiplicative-Addtive Neural Networks with Active Neurons. Aceito na International Joint Conference on Neural Networks 1999, Washington (July 1999).
INNS Press.
61. Ricardo Salem Zebulum, Marley Vellasco, Marco Aurélio Pacheco e Reinaldo C. Souza, NeuroPrev: A Neural-Net Tool for Electrical Load Forecasting, The Seventeenth Annual International
Symposium on Forecasting, pp. 50, Barbados, 19-21 de Junho de 1997.
62. Ricardo S. Zebulum, M.A.C. Pacheco e Marley M.B.R. Vellasco, Comparison of Different Evolutionary Methodologies Applied to Electronic Filter Design, International Conference on Evolutionary Computation (ICEC'98), IEEE World Congress on Computational Intelligence, pp. 434-439, Anchorage, Alaska, 4-9 May1998.
63. Ricardo S. Zebulum, M.A.C. Pacheco e Marley M.B.R. Vellasco, Evolutionary Design of Logic Gates, 5th International Conference on Artificial Intelligence in Design, Lisboa, Portugal, July 1998.
64. Ricardo S. Zebulum, M.A.C. Pacheco e Marley M.B.R. Vellasco, A Multi-Objective Optimisation Methodology Applied to the Synthesis of Low-Power Operational Amplifiers, International Conference on Microelectronics and Packaging (ICMP'98) - XIII SBMicro, Curitiba, August 1998.
65. Ricardo S. Zebulum, M.A.C. Pacheco e Marley M.B.R. Vellasco, Analog Circuits Evolution in Extrinsic and Intrinsic Modes, 2nd International Conference on Evolvable Systems – From Biology to Hardware (ICES'98), Lausanne, Suiça, September 1998.
66. Ricardo S. Zebulum, M.A.C. Pacheco, Marley M.B.R. Vellasco, Evolutionary Systems Applied to the Synthesis of a CPU Controller, The Second Asia-Pacific Conference on Simulated Evolution and Learning, (SEAL’98), v. 3, Canberra, Australia, 24-27 November 1998.
Papers in Brazilian Conferences: 34
67. Luiz Biondi Neto, Marco Aurélio C. Pacheco, Marley Maria B.R.
Vellasco, Emmanuel P.L. Passos e Luiz Chiganer, Sistema Híbrido de Apoio à Decisão para Detecção e Diagnóstico de Falhas em Redes Elétricas, Anais do III Simpósio Brasileiro de Redes Neurais, pp. 197-204, Recife, 12-14 November 1996.
68. Luiz Biondi Neto, Marley M.B. R. Vellasco, Marco Aurélio Pacheco, Emmanuel P. Lopes Passos e Luis Chiganer, Sistema Híbrido de Apoio à Decisão para Detecção e Diagnóstico de Falhas em Redes Elétricas, XIV SNPTEE - Seminário Nacional de Produção e Transmissão de Energia Elétrica, Belém, PA, 26 - 30 October 1997.
69. Barros, M.M., Souza, G.M. e Ludermir, T.B. (1998) Extração de Regras em uma Rede Neural Booleana utilizando o modelo RAM. V Simpósio Brasileiro de Redes Neurais. Belo Horizonte, 10-12 de dezembro de 1998, volume II, p. 121-125, SBC.
70. Camargo, P. R. C., Perlingeiro, C. A. G., Carvalho, L. A. V., “Redes Neuronais no Dimensionamento e na Simulação Estática de
Processos Químicos'', XI Congresso Brasileiro de Engenhria Química, Rio de Janeiro, Setembro 1996.
71. de Oliveira, W. R. (1997). Continuity -algebras. Relations to Computer Science Workshop in Foundations of Computational Mathematics Conference, IMPA, Rio de Janeiro, 05/01 a
11/01/1997.
72. Ferreira, V.M.G. and França, F.M.G., “Weightless
implementations of weighted neural networks”, Anais do IV Simpósio Brasileiro de Redes Neurais, Goiânia, GO, 53-54, dezembro de 1997.
73. Fogel, L., Zaverucha, G. 1997. Aplicando Invenção de
Predicados no Aprendizado de Múltiplos Predicados. I Encontro Nacional de Inteligencia Artificial (ENIA’97), SBC97, 5-6 de agosto, Brasilia, DF, pp. 25-30.
74. França, F.M.G., “A hybrid natural language understanding system driven by a single neural-based distributed dynamics”, Anais do III Congresso Brasileiro de Redes Neurais, Florianópolis, SC, 250-255, julho de 1997.
75. França, F.M.G. (Editor), Anais do Workshop em Inteligência Computacional: Projetos ICOM e IPAC, Protem III-CC, CNPq, Programa de Engenharia de Sistemas e Computação - COPPE/UFRJ, ES-450/97, setembro de 1997.
76. Garcez, A.S., Zaverucha, G, Silva, V.N.A.L.. 1996. Programação Lógica Estendida e Aprendizado Indutivo em Redes Neurais: Uma Aplicação em Sistemas de Potencia III Simpósio Brasileiro de Redes Neurais, 12-14 Nov, Recife, pp. 205-212.
77. Kilkerry Neto, A., Zaverucha, G, Carvalho, L.A. 1998.
Implementação de um Provador de Teoremas em Redes Neurais Simétricas. Anais do V Simpósio Brasileiro de Redes Neurais (SBRN’98), 9-11 Dezembro, Belo Horizonte, pp. 115-120.
78. Lima Neto, F. B., Santos, M. S. e Ludermir, T. B. (1997) Estudo Comparativo de Desempenho das Topologias de Redes Neurais:
MLP e Cascade-Correlation em Problemas Reais de Classificação.
III Congresso Brasileiro de Redes Neurais. Florianópolis, Julho de 1997, pp. 493-498.
79. Ludermir, T. B., de Oliveira, W. R. e Santos, A Q. (1996) Um Analisador Sintático Neural para o Pascal. III Simpósio Brasileiro de Redes Neurais. Recife, 12 a 14 de novembro de 1996 pp.302.
80. Ludermir, T. B., de Oliveira, W. R. e Santos, A. Q. (1997)
Implementação Neural de um Analisador Sintático. III Congresso Brasileiro de Redes Neurais. Florianópolis, Julho de 1997, pp.
244-249.
81. Ludermir, T. B. e De Oliveira, W.R. (1997) Extração de Regras de Redes Booleanas com Realimentação. IV Simpósio Brasileiro de Redes Neurais. Goiânia, 3-5 de dezembro de 1997, pp. 112-114.
82. Ludermir, T.B. e De Oliveira, W.R. (1997) Suporte a Decisão para colheita de Cana-de-Açúcar. IV Simpósio Brasileiro de Redes Neurais. Goiânia, 3-5 de dezembro de 1997, pp. 27-31.
83. Ludermir, T.B. (1998). Extracting rules from feedforward
Boolean neural networks. V Simpósio Brasileiro de Redes Neurais.
Belo Horizonte, 10-12 de dezembro de 1998, volume I, p. 61-66, IEEE Computer Society.
84. Medeiros, C. A., Ludermir, T. B. e de Oliveira, W. R. (1997) Avaliação do Aprendizado de Caracteres em Redes Neurais sem pesos. Nos anais do III Simpósio Brasileiro de Automação Inteligente , Vitória, pp. 388-393.
85. Menezes, R. and Zaverucha, G. 1997. Modificando o Treinamento do Sistema CIL2P para facilitar a extração de
Programas em Lógica. I Encontro Nacional de Inteligencia Artificial, (ENIA’97), SBC97, 5-6 de agosto, Brasilia, DF, pp. 19-24.
86. Nehme C. C., Carvalho, L. A. V., Mendes S. B. T., "The Gamma-Art Architecture Applied on Passive Sonar Classification Problem", III Encontro de Tecnologia em Acústica Submarina, Instituto de Pesquisas da Marinha do Brasil, Rio de Janeiro, Set. 1997.
87. Nobre, C.N., Braga, A.P, Carvalho, A.P.L. e Ludermir, T.B.
(1998). Extração de Conhecimento: Uma comparação entre os métodos clássico e conexionista. V Simpósio Brasileiro de Redes Neurais. Belo Horizonte, 10-12 de dezembro de 1998, volume II, p.
126-131, SBC.
88. Rozenthal, M., Carvalho, L.AV., Engelhardt E., Laks, J., Schizophrenia: Correlation between neuropsychology and symptomatology with neural networks, Brazilian Psychiatry Conference, Brazil, October 1997.
89. Luiz Sabino Neto, Marley M.B.R. Vellasco e Marco A.C. Pacheco, Previsão de Carga em Curtíssimo Prazo Utilizando Redes Neurais, VI Symposium of Specialists in Electric Operational and Expansion Planning (SEPOPE 98), pp. CDROM, Salvador, BA, May 1998.
90. Luiz Sabino Neto, Marco A.C. Pacheco, Marley M.B.R. Vellasco e Karla Figueiredo, Controle de Cheias por Algoritmos Genéticos (Overflow Control of Electric Generator Reservoir through Genetic Algorithms), Simpósio Internacional sobre Gestão de Recursos Hídricos, Gramado, RS, October 1998.
91. Santos, M.S. e Ludermir, T.B. (1997) Construção de um Nariz Artificial Usando Redes Neurais. Iv Simpósio Brasileiro de Redes Neurais. Goiânia, 3-5 de dezembro de 1997, pp. 71-73.
92. Santos, M.S., Ludermir, T.B., Santos, F.L., Pinto de Melo, C. e Gomes, J.E. (1998). Usando um Nariz Artificial para Reconhecer Safras de vinho. V Simpósio Brasileiro de Redes Neurais. Belo Horizonte, 10-12 de dezembro de 1998, volume II, p. 253-258, SBC.
93. Santos, F.L., Melo, C.P., Souza, J.E.G., Santos, M.S. e Ludermir, T.B. (1998) Nariz Eletrônico à base de Polopirrol Condutor, Anais do XVI Encontro de Físiscos do Norte e Nordeste, 18 a 24 de outubro de 1998, Sociedade Brasileira de Física.
94. Victor N. A. L. da Silva, Guilherme F. Ribeiro, Celia R. S. H.
Lourenço 1988. Application of Artificial Intelligence in Eletric Power Systems Diagnosis - VI SEPOPE – Salvador – Bahia – Junho de 1998.
95. Souza, J.E.G., Neto B.B., Santos, F.L., Melo, C.P., Santos, M.S. e Ludermir, T.B. (1998) Desenvolvimento de sensores de aroma baseados em filmes de polipirrol. II Simpósio Nacional de Instrumentação Agropecuária, 2 a 4 de dezembro de 1998.
96. Teixeira, M.A., Zaverucha, G, Silva, V.N., Ribeiro, G.F. 1998.
Previsão de Cargas Elétricas Usando Redes de Elman. Anais do V Simpósio Brasileiro de Redes Neurais (SBRN’98), 9-11 Dezembro, Belo Horizonte, pp. 161-164.
97. Valença, M.J.S. e Ludermir, T.B. (1998). Self-Organizing Modeling in Forecasting Daily River Flows. V Simpósio Brasileiro de Redes Neurais. Belo Horizonte, 10-12 de dezembro de 1998, volume I, p.
210-214, IEEE Computer Society.
98. Valença, M.J.S. e Ludermir, T.B. (1998). Previsão de Demanda Máxima Mensal Utilizando um Modelo Auto-Organizável. V
Simpósio Brasileiro de Redes Neurais. Belo Horizonte, 10-12 de dezembro de 1998, volume II, p. 311-314, SBC.
99. Zaverucha, G. 1997. Extensões do CIL2P - Um Sistema Neural Para Programação em Lógica e Aprendizado Indutivo. I Encontro Nacional de Inteligencia Artificial(ENIA 97), Congresso SBC, 5-6 de agosto, Brasilia, DF, pp. 10-18.
100. Ricardo S. Zebulum, Marco A.C. Pacheco e Marley M.B.R.
Vellasco, Synthesis of CMOS Operational Amplifiers Through Genetic Algorithms, XI Brazilian Symposium on Integrated Circuit (SBCCI’98), pp. 125-128, Buzios, Rio de Janeiro, 30 September to 3 October 1998.