A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases

Ginés Rubio, Héctor Pomares, Ignacio Rojas, Alberto Guillén. A Basic Approach to Reduce the Complexity of a Self-generated Fuzzy Rule-Table for Function Approximation by Use of Symbolic Regression in 1D and 2D Cases. In José Mira, José R. Álvarez, editors, Artificial Intelligence and Knowledge Engineering Applications: A Bioinspired Approach: First International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC 2005, Las Palmas, Canary Islands, Spain, June 15-18, 2005, Proc. Volume 3562 of Lecture Notes in Computer Science, pages 143-152, Springer, 2005. [doi]

Abstract

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