Neuro | 私立大學五星教授網

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

A neuro-fuzzy system is a fuzzy system that uses a learning algorithm derived from or inspired by neural network theory to determine its parameters (fuzzy sets ...

2023年12月23日 — Neuro-fuzzy systems are characterized by their ability to adaptively learn and draw inferences from imprecise or incomplete information, ...

Neuro-fuzzy refers to the combination of artificial neural networks and fuzzy logic in the field of artificial intelligence.

Neuro-fuzzy systems are learning algorithms which combine the joint-use of neural networks and fuzzy logic in order to make it possible to take advantage of ...

由 J VIEIRA 著作 · 被引用 222 次 — This type of system is characterised by a fuzzy system where fuzzy sets and fuzzy rules are adjusted using input output patterns. There are several different ...

由 KV Shihabudheen 著作 · 2018 · 被引用 268 次 — Hybrid neuro-fuzzy system combines two or more learning technique to find the parameters, which is used to achieve stable and fast convergence.

A textbook/disk package surveying important issues in fuzzy systems and neural networks and exploring the use of integrated systems.

2012年10月5日 — Neuro-fuzzy systems combine neural networks and fuzzy logic to overcome the limitations of each. They were created to achieve the mapping ...