Sentence examples for fuzzy computing from inspiring English sources

Computational intelligence can be categorized into three main groups, namely, neural computation, evolutionary algorithms (EAs), and fuzzy computing.

The two basic soft computing techniques are fuzzy computing and probabilistic computing.

Several early examples of fuzzy computing for tire parameters estimation are described in works of Stumpf, Arendt and Lux [33], and Madau, Yuan, Davis Jr. and Feldkamp [34].

In the aggregate the performed review indicates that fuzzy computing can be considered as a versatile tool for automotive engineering applications of different nature.

Research interests include design of cellular manufacturing systems, meta-heuristics, simulation modeling, facility design, mathematical modeling and optimization, fuzzy computing in more than 20 papers in international conferences and more than ten papers in international journals.

Among vehicle dynamics control systems, ABS belongs to the classical examples of automotive control applications to verify and to define functional properties of different control methods, including fuzzy computing.

The proposed identifier integrates different soft computational strategies, i.e. neuro-fuzzy computing, fuzzy controller, swarm intelligent computing, and ensemble network design, beneficial for capturing both uncertainty and nonlinearity of the problem at hand.

This new processing paradigm is known under the name of neuro-fuzzy computing.

The neuro-fuzzy computing scheme is integrated with operator's posture analysis and evaluation.

A neuro-fuzzy computing provides the system identification and interpretability of fuzzy models and learning capability of neural networks in a single system.

In this project, a new intelligent based methodology employing neuro- fuzzy soft computing technique is proposed.