B-P人工神经网络模型在纯净水安全评价中的应用
he Application of B-P Artificial Neural Network Model in The Evaluation of The Safety of Purified Water
人工神经网络具有极强的自组织、自适应、自学习的特点,同时具有较强的输入输出非线性映射能力与易于学习和训练等优点,被广泛应用于各个研究领域。本文应用其这些特点,对某一城区九家纯净水生产销售公司的抽检结果进行评判排序,通过纯净水安全等级的设定,最终得出了各个抽检批次的安全等级及排序。结合实际状况可知,此模型给出了较好的结果。
he artificial neural network have characteristics that it has a strong power to be self-organizing, self-learning and self-adapting.At the same time ,it is not only able to output nonlinear mapping but also easy to learn and train.As a result,it’s widely applied in various study fields.In this paper,we use these characteristics to make a evaluation and sorting on a random inspection in nine pure water production and sales company in a city. Through setting the water safety level,we finally calculate every batch’s safety level and sort all the batchs. Combined with actual situation, this model gives pretty good results.
岳晓蕊、卓立军、梁浩楠
安全科学自动化技术、自动化技术设备计算技术、计算机技术
安全度MATLABB-P人工神经网络模型
Safety LevelsMatlabB-P Artificial Neural Network Model
岳晓蕊,卓立军,梁浩楠.B-P人工神经网络模型在纯净水安全评价中的应用[EB/OL].(2009-09-01)[2025-07-18].http://www.paper.edu.cn/releasepaper/content/200909-12.点此复制
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