Abstract: The direct fuzzification of a standard layered feedforward neural network where the signals and weights are fuzzy sets is discussed.
We discuss the direct fuzzification of a standard layered, feedforward, neural network where the signals and weights are fuzzy sets. A fuzzified delta rule ...
Fuzzy Neural Network with Fuzzy Signals and Weights. Yoichi Hayashi. Department of Computer and Information Sciences. Ibaraki University, Hitachi-shi, Ibaraki ...
We discuss the direct fuzzification of a standard layered, feedforward, neural network where the signals and weights are fuzzy sets. A fuzzified delta rule is ...
Jun 15, 2021 · This study proposes a fusion analysis model that combining fuzzy decision theory with the process information processing method of P-NNs.
Fuzzy Neural Networks - an overview | ScienceDirect Topics
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A fuzzy neural network is basically a neural network where the inputs as well as the connection weights are fuzzy numbers. On the other hand, a neuro-fuzzy ...
Abstract: We discuss the direct fuzzification of a standard layered, feedforward, neural network where the signals and weights are fuzzy sets.
Fuzzy neural network with fuzzy signals and weights ; Recent Neuro-Fuzzy Approaches for Feature Selection and Classification. Singh H.R., Biswas S.K., Bordoloi M ...
The author suggests that an artificial neural network can be built using fuzzy logic, particularly employing Ordered Fuzzy Numbers (OFNs) within its neurons.
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By a fuzzy neural net we mean a layered, feedforward, neural net with fuzzy weights and/or fuzzy signals. Given a continuous fuzzy function, mapping triangular ...