天津工业大学学报Issue(3)：67-72,6.DOI:10.3969/j.issn.1671-024x.2015.03.015
结合自适应遗传算法与弹性BP神经网络的亚硝酸盐预测模型
Nitrite prediction model based on adaptive genetic algorithm and elastic BP neural network
摘要
Abstract
Currently nutrients are detected by the chemical method. A chemical method cannot get online detection. To solve the problem, based on the relationship between nutrients and their impact factors, a prediction model which combined Adaptive Genetic Algorithm and Elastic BP Neural Network is put forward in this paper. Using the improved Adaptive Genetic Algorithm, the initial weights and thresholds of Elastic BP Neural Network are obtained by the crossover and mutation to accelerate the prediction process. The imporoved model predicts the nitrite by using the data of its impact factors. Simulation results show that it is feasible to predict the nutrient concentration by using the prediction model based on the Elastic BP Neural Network. The relative error of nitrite concentration value mainly focuses on 0-30%. The prediction model based on Adaptive Genetic Algorithm and Elastic BP neural network is better than that based on Elastic BP Neural Network.关键词
亚硝酸盐/预测/自适应遗传算法/弹性BP神经网络Key words
nitrite/prediction/adaptive genetic algorithm(AGA)/elastic BP neural network分类
信息技术与安全科学引用本文复制引用
林志贵,姚芳琴,冯林强,杜军兰,李建雄..结合自适应遗传算法与弹性BP神经网络的亚硝酸盐预测模型[J].天津工业大学学报,2015,(3):67-72,6.基金项目
国家自然科学基金项目资助 （）
