Fuzzy B-spline membership function (BMF) and its applications in fuzzy-neural control
β Scribed by Chi-Hsu Wang; Wei-Yen Wang; Tsu-Tian Lee; Pao-Shun Tseng
- Book ID
- 114550672
- Publisher
- Institute of Electrical and Electronics Engineers
- Year
- 1995
- Weight
- 896 KB
- Volume
- 25
- Category
- Article
- ISSN
- 0018-9472
No coin nor oath required. For personal study only.
π SIMILAR VOLUMES
In this paper we present an approach to designing a novel type of fuzzy controller. B-spline basis functions are used for input variables and fuzzy singletons for output variables to specify linguistic terms. ''Product'' is chosen as the fuzzy conjunction, and ''centroid'' as the defuzzification met
A fuzzy neural network is presented. The network is composed of two parts: an antecedent network and a consequent network. The network acts as a fuzzy logic controller. The antecedent network matches the premises of the fuzzy rules and the consequent network implements the consequences of the rules.