International Journal of Approximate Reasoning
Neural-Network-Based Fuzzy Logic Control and Decision System
IEEE Transactions on Computers - Special issue on artificial neural networks
Fuzzy logic, neural networks, and soft computing
Communications of the ACM
Hierarchical mixtures of experts and the EM algorithm
Neural Computation
Artificial Neural Networks for Image Understanding
Artificial Neural Networks for Image Understanding
Neural-Fuzzy Models for Multispectral Image Analysis
Applied Intelligence
Fuzzy neural network models for classification
IEA/AIE'1997 Proceedings of the 10th international conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
Building a highly-compact and accurate associative classifier
Applied Intelligence
Automatic extractive text summarization based on fuzzy logic: a sentence oriented approach
SEMCCO'11 Proceedings of the Second international conference on Swarm, Evolutionary, and Memetic Computing - Volume Part I
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In this paper, we combine neural networks with fuzzylogic techniques. We propose a fuzzy-neural network model for patternrecognition. The model consists of three layers. The first layer isan input layer. The second layer maps input features to thecorresponding fuzzy membership values, and the third layer implementsthe inference engine. The learning process consists of two phases.During the first phase weights between the last two layers areupdated using the gradient descent procedure, and during the secondphase membership functions are updated or tuned. As an illustrationthe model is used to classify samples from a multispectral satelliteimage, a data set representing fruits, and Iris data set.