Intelligent optimization for support pressure zone algorithm based on fuzzy neural network damage identification

摘要

Abstract To predict the scope of support pressure zone in coal mining, this paper focuses on analysis over the features of stress transformation in front of the working face. Based on the fuzzy neural network (FNN) damage identification of the warped beam structure (WBS), a mechanical analysis model was optimized, from which a quantifying formula for calculating the scope of the support pressure zone (SPZ) in front of the mechanized working face during the periodic weighting stage was derived. The algorithm of fuzzy neural network optimization for transfer coefficient of elastic damage (TCOED) offers a method and basis to predict the stress state in front of the working face. The research results have guiding significance to computer intelligence monitoring for coal mines.