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In this paper, we present a fuzzy neural network (FNN) to realize the rule reasoning of fuzzy inference systems.
Abstract. In this paper, we present a fuzzy neural network (FNN) to realize the rule reasoning of fuzzy inference systems. The proposed fuzzy neural network ...
In this paper, a hybrid clustering and gradient descent approach is proposed for automatically constructing a multi-input fuzzy model where only the ...
Rule combination in a fuzzy neural network.
Fuzzy neural networks (FNNs) [1] have both interpretability and a self-learning ability, achieved by combining fuzzy systems [2,3] and neural networks, and they ...
Oct 26, 2022 · To solve the aforementioned issues, in this paper, we propose a federated fuzzy neural network (FedFNN) with evolutionary rule learning (ERL) to ...
It has been shown that humans can rely on both rules or associations to solve a problem. We present a model in which rules may be applied to a particular ...
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Aug 24, 2016 · Fuzzy logic is made by mimicking how we thinks (reasoning level), where as neural network is made by mimicking interconnection of neurons in ...
Oct 24, 2008 · The rule base of a fuzzy system is interpreted as a neural network. Fuzzy sets can be regarded as weights whereas the input and output variables ...
The basic fuzzy inference system consists of three conceptual components: a rule base, which characterized the rule in the form of if-then rules in which ...