BP neural network aquaculture elements optimization analysis based on elicitation Johnson reduction algorithm

摘要

Nowadays, there is no data analysis scheme about the container aquaculture. In this paper, considering the data analysis demands, feedforward neural network (FFNN) based on back-propagation algorithm is built. The problems of classic BP neural network elements analysis models and optimization method is put forward. BP neural network aquaculture elements analysis optimized by Elicitation Johnson reduction algorithm using distinguishable matrix satisfy the experiment evaluation.