材料期刊网

Fuzzy Neural Model for Flatness Pattern Recognition

JIA Chunyu , SHAN Xiuying , LIU Hongmin , NIU Zhaoping

钢铁研究学报(英文版)

For the problems occurring in a least square method model, a fuzzy model, and a neural network model for flatness pattern recognition, a fuzzy neural network model for flatness pattern recognition with only threeinput and threeoutput signals was proposed with Legendre orthodoxy polynomial as basic pattern, based on fuzzy logic expert experiential knowledge and geneticBP hybrid optimization algorithm. The model not only had definite physical meanings in its inner nodes, but also had strong selfadaptability, antiinterference ability, high recognition precision, and high velocity, thereby meeting the demand of highprecision flatness control for cold strip mill and providing a convenient, practical, and novel method for flatness pattern recognition.

关键词: flatness;pattern recognition;Legendre orthodoxy polynomial;geneticBP algorithm;fuzzy neural network