[PDF] Top 20 Hybrid Neuro-Fuzzy Classifier Based On Nefclass Model

... focuses on examples that are harder to ...error on weighted ...but on the basis of these weights the subsample is generated and the classi- fier operates on the subsample (not original dataset ... See full document

... ANN model training. For example, the Adaptive Neuro-Fuzzy Inference System (ANFIS) proposed by Jang [139] is a five-layer feed-forward neural network and uses a hybrid learning algorithm that ... See full document

... partition based on pre-defined number of MFs and their types in each ...of fuzzy rules increases exponentially when the number of input variables ...of fuzzy rules is m n ...the model ... See full document

... trees. On the other hand, hyperspectral data containing high spectral resolution would support high distinction between the objects having different spectral information such as soil, water, and ...methodology ... See full document

... detected on biopsy as part of their risk prediction algorithm and consider vol- ume to have an influence on the risk of disease ...volume on the risk of disease is ... See full document

... sion, Fuzzy Logic allows assigning, for instance, a newborn with birth weight of 1,350 g to a fuzzy subset VLBW with ...LBW fuzzy subset with ...differences on biological, ana- tomical and ... See full document

... lógica fuzzy no diagnóstico médico de hérnia inguinal é importante, porque o primeiro contato do paciente em uma unidade médica (pública ou privada) é realizado por médicos do tipo clínico geral (não ...aplicação ... See full document

... proposed model is not a forecasting approach, the performance of the NN-based model must not be evaluated by using the classical procedure of splitting all available data into training and validation ... See full document

... depends on the input signals, weights of connections, threshold value and activation ...relies on the local information and internal control within the network ... See full document

... moving-average model, the bilinear model and the nonlinear autoregressive model, are only suitable for the precise number ...interval fuzzy numbers to represent these data is more reasonable ... See full document

... a fuzzy appraisal approach to model the dynamics for the emotion generation process of ...computational model uses guidelines from OCC emotion theory to formulate a system of fuzzy inferential ... See full document

... development based on literature ...the model of NTGSBC, node evaluation function must reflect causality and temporal constraint between anomalous behavior and data at the same ...the model of ... See full document

... and fuzzy controllers, i.e. using neuro-fuzzy ...is based on mathematical models that describe the behavior of the firm under ...of fuzzy control, on the other hand, is to ... See full document

... • Kiska et al. study the influence of production rules and connective “also” in the accuracy of a fuzzy model of a d.c. series motor in [34]. The authors test several fuzzy implications and t-norms as ... See full document

... For the application of the model, the data from the Cocó river were used. This river is located in the State of Ceará. Its basin is placed at the east area district of Fortaleza. It is one of the main axes of ... See full document

... tion, that is, the discovery of new and better products and operational processes [1]. According to Afuah [2], innova- tion includes applying new knowledge to provide a new product or service desired by customers. ... See full document

... A contaminação de alimentos pela migração de aditivos de baixo peso molecular em alimentos processados industrialmente pode ser resultado do contato direto entre a embalagem e o alimento. A concentração do aditivo que ... See full document

... Simulation Based Training is the ability to improve, replace, create or manage a real experience and training in a virtual ...Simulation Based Training also provides large amounts of information to learn, ... See full document

... In Brazil breast cancer is the leading cause of death by cancer for women. Since the causes are unknown, it cannot be prevented. The presence of calcification clusters is an important sign for breast carcinoma detection. ... See full document

... Lógica Fuzzy ou Lógica nebulosa, os quais foram empregados com o objetivo de desenvolver um mecanismo de adaptação da taxa de treinamento do algoritmo retropropagação para a previsão de cargas ...controle ... See full document