1. Neural nets and normal forms from fuzzy logic point of view
- Creator:
- Perfilieva, I.
- Format:
- bez média and svazek
- Type:
- model:article and TEXT
- Subject:
- disjunctive, conjunctive and additive normal forms, BL-logic, Łukasiewicz logic, ŁII logic, fuzzy logic, fuzzy relation, and approximation
- Language:
- English
- Description:
- The paper addresses the problém of efficient and adequate representation of functions using two soft computing techniques: fuzzy logic and neural networks. The principle approach to the construction of approximating formulas is discussed. We suggest a generalized definition of the normál forms in predicate BL and ŁII logic and prove conditional equivalence between a formula and each of its normal forms. Some mutual relations between the normál forms will be also established.
- Rights:
- http://creativecommons.org/publicdomain/mark/1.0/ and policy:public