改良式模糊類神經網路與其應用 | 私立大學五星教授網

▫ 緣起：“模糊類神經網路” （Fuzzy-Neural Network, FNN）是一門結合“模糊（Fuzzy）” 以及“類. 神經網路（Neural Network）” 的技術。可惜在一般有關「模糊理論、控制」或 ...

在本篇論文中，我們提出一模糊類神經網路(Fuzzy Neural Network, FNN)之模式，以學習模糊邏輯規則系統(Fuzzy-logic rule based system)中的知識。

2023年7月30日 — Fuzzy Neural Networks (FNNs) represent a powerful hybrid computational model that integrates the concepts of fuzzy logic and artificial ...

FNN is an AI technique developed from the grouping of two fields, fuzzy logic and neural network. FNN detects parameters of a fuzzy system, including fuzzy sets ...

由 JJ SHANN 著作 · 1995 · 被引用 155 次 — This paper presents a layer-structured fuzzy neural network (FNN) for learning rules of fuzzy-logic control systems. Initially, FNN is constructed to ...

由 CT Lin 著作 · 2004 · 被引用 11 次 — Fuzzy neural networks (FNNs) for pattern classification usually use the backpropagation or C-cluster type learning algorithms to learn the parameters of the ...

由 陶雨龍 著作 · 2004 — Fuzzy Neural Networks have been successfully applied to extract knowledge from data in the form of fuzzy rules. However, the drawback with the fuzzy neural ...

In the field of artificial intelligence, the designation neuro-fuzzy refers to combinations of artificial neural networks and fuzzy logic.

2008年10月24日 — A fuzzy neural network or neuro-fuzzy system is a learning machine that finds the parameters of a fuzzy system (i.e., fuzzy sets, fuzzy rules) ...