基于人工神经网络的行业无害化生产能力评价模型研究

A MODEL FOR EVALUATING ABILITY OF PROFESSIONAL INNOCENT PRODUCTION BASED ON ARTIFICIAL NEURAL NETWORK

利用BP前向人工神经网络方法 ,建立了一种全新的基于人工神经网络的行业无害化生产能力评价模型 ,该模型采用动量梯度下降反向传播和学习速率自适应调整相结合的训练学习算法。最后 ,以造纸及纸制品业为例 ,对中国各省市造纸行业的无害化生产能力进行评价 ;并进一步分析中国各省造纸行业无害化生产能力的时空分布规律 ,为我国行业规划、布局决策提供科学依据。

With the back propagation artificial neural network, a completely new model for evaluating the ability of a professional innocent production was built.The model adopts an improved BP algorithm.Finally,an evaluation of paper industry's innocent production abilities in most provinces of China was done.The features of the results were also discussed on their distribution of time and space aspects.The research and application of the model will offer a scientific basis for prafessional planning and layout decision in China.