Multi-Layer Perceptron (MLP)
A New Approach to Predicting Bankruptcy: Combining DEA and Multi-Layer Perceptron
... and Multi-Layer Perceptron (MLP) to suggest a new method for prediction of bankruptcy that not only focusses on historical financial data of firms that filed for bankruptcy like other past studies ...
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Detecting attacks to computer networks using a multi-layer perceptron artificial neural network
... the multi-layer perceptron, and how we collected data to input into our ANN; Section 4 covers how we trained our ANN; Sections 5 and 6 detail how the algorithm was implemented; Section 7 explains how ...
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Avaliação de baseados em aprendizado de máquina para a classificação do uso e cobertura da terra no bioma caatinga
... (Multi Layer Perceptron (MLP) e o Support Vector Machine (SVM)) e do método da Máxima Verossimilhança na classificação do uso e cobertura da terra no bioma ...
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Comitês de baseados nas Redes SOM e Fuzzy ART com sintonia de parâmetros e seleção de atributos via metaheurísticas evolucionárias
... Classificadores neurais são tipicamente obtidos a partir de técnicas de aprendizagem supervisionada, tais como redes MLP (Multi-Layer Perceptron) e RBF (Radial Basis Function ) (HAYKIN, 2[r] ...
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Braz. J. Chem. Eng. vol.28 número1
... next layer (a fully connected network). MLP (Multi layer Perceptron) networks are a kind of feed-forward neural network with different transfer ...input layer, a hidden layer and ...
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Artificial neural networks: A novel approach to analysing the nutritional ecology of a blowfly species, Chrysomya megacephala
... namely Multi-Layer Perceptron (MLP), Radial Basis Function (RBF), and Adaptive Neural Network-Based Fuzzy Inference System (ANFIS), to ascertain whether these tools would be able to outperform a ...
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Intrusion Detection System with Hierarchical Different Parallel Classification
... The proposed method is formed through the idea of mixing hierarchical parallel classification, and finally a mediated network decide about the kind of attack. This system used ten blocks to decision making. Every block ...
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MP-DRAUGHTS - UM SISTEMA MULTIAGENTE DE APRENDIZAGEM AUTOMÁTICA PARA DAMAS BASEADO EM REDES NEURAIS DE KOHONEN E PERCEPTRON MULTICAMADAS
... (Multi-Layer Perceptron - MLP) que utiliza de busca alfa-beta com tabela de trans- posição e aprofundamento iterativo para a escolha da melhor jogada em função do estado corrente do tabuleiro do ...
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Improved Statistical Speech Segmentation Using Connectionist Approach
... and Multi Layer Perceptron (MLP) with adaptive learning for segmentation of Malay connected digit with the aim to improve statistical approach via detection of insertion ...
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Transient Stability Assessment of a Power System Using Probabilistic Neural Network
... the multi layer perceptron neural network (MLPNN) are also ...hidden layer neurons equal the number of input features which is 29 and with a single ...
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Modelling of mass transfer kinetic in osmotic dehydration of kiwifruit
... last layer to the first layer in order to get the minimum value of the prediction error (Mohebbi et ...of perceptron neural networks with logarithm sigmoid activation function (Log-sig – Log-sig) and ...
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COLUMN GENERATION BASED ALGORITHMS FOR THE CAPACITATED MULTI-LAYER NETWORK DESIGN WITH UNSPLITTABLE DEMANDS
... Actually, the problem of designing layered networks have been studied first by Dahl and Stoer in Dahl et al. (1999). The authors wish to set up a set of virtual links referred to as “pipes” on the physical layer. ...
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Speed Estimation of Adaptive Fuzzy-Controlled Piezo-Electric Motor using MLP-Neural Network
... hidden layer of continuous and non-linear functions (such hyperbolic tangential function HTF) and of linear function LF at the output layer • From the driving characteristics shown in ...
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REDES NEURAIS ARTIFICIAIS Rede Neural Perceptron
... Como quero reduzir o valor de E, usa-se o sinal negativo, que indica a decida do gradiente.. FUNÇÕES IMPORTANTES NO MATLAB - Training function:[r] ...
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Impact of physical layer impairments on multi-degree CDC ROADM-based optical networks
... ROADM, can be generalized for a R-degree ROADM. In Tables 1 and 2, the number of in-band crosstalk terms generated inside a R-degree C, CD and CDC ROADM with MCSs and WSSs-based add/drop structures, for both B&S ...
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A Deterministic and Polynomial Modified Perceptron Algorithm
... The behaviour of this algorithm is well-studied, and we know from, for example, [6] that it produces a feasible solution if the problem has a margin ρ of size at least 1/ √ R = 1/(2 √ n). Also we can conclude that: ...
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Verification of the multi-layer SNOWPACK model with different water transport schemes
... each layer thickness, without adjusting the ...model layer. The typ- ical thickness of a model layer is around 2 cm, so possible round-off errors are expected to be ...modeled layer ...
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Burning Graphene Layer-by-Layer
... quality multi-layer graphene platelets by irradiation using focused low-power laser in ...selective layer-by-layer etching has been achieved, without signiicant changes in lateral dimensions ...
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Estudo de incumprimento da situação contributiva e fiscal das empresas utilizando redes neuronais
... Na construção do modelo recorreu-se a uma técnica no domínio das Redes Neuronais, conhecida por Multilayer Perceptron Backpropagation, com o algoritmo de aprendizagem[r] ...
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Cardiotoxicidade Subclínica Induzida por Antraciclina no Seguimento a Longo Prazo de Sobreviventes de Linfoma: Uma Análise Speckle Tracking Multi-Layer
... subepicardial layer of longitudinal (LS-ENDO, LS-MID, LS-EPI) and circumferential strain (CS-ENDO, CS-MID, CS-EPI) values were ...GLS. Multi-layer speckle tracking analysis showed significant ...
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