Using the nextclosure algorithm to extract rules from trained neural networks application in solar energy systems
An Approach to Knowledge Extraction From ANN Through Formal Concept Analysis - Computational Tool Proposal: SOPHIANN
SOPHIANN: A Tool for Extraction Knowledge Rules from ANN Previously Trained - A Case Study
Using the NextClosure Algorithm to Extract Rules from Trained Neural Networks - Application in Solar Energy Systems
Reduction of the Entries Number of the Training Set for ANN Through Formal Concept Analysis and its Applications to Solar Energy Systems
Representation of Solar Collectors via Neural networks with Reduction of the Training Set Number (aceito para publicação)
Luis Enrique Zárate Gálvez
Elizabeth Marques Duarte Pereira
Daniel Alencar Soares
Newton José Vieira
Paula Silva
Luis Enrique Zárate
SOPHIANN: Aprendizado de Processos Através da Extração de Conhecimento via Redes Neurais