On generalization by neural networks
Information Sciences—Informatics and Computer Science: An International Journal
A New Neuro-Fuzzy Classifier with Application to On-Line Face Detection and Recognition
Journal of VLSI Signal Processing Systems
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In this paper, we propose a new method for solving these problems inspired from the neuro-fuzzy logic approach for classificatory problems. We first cluster the training data based on class identification of inputs. A sort of fuzzy approach serves as a means to classify the unknown inputs. Rules are in the form of representative of every cluster and their matching class. The centre and power of the representative are the parameters that are optimised using a training algorithm and further by Genetic Algorithms. We tested the algorithm on the famous classificatory problem of picture learning.