基于模糊神经网络仿真建立顾客啤酒口味分析模型

2010 International Conference of Information Science and Management Engineering Pub Date : 2010-08-07 DOI:10.1109/ISME.2010.225

Jun-qi Yang, Xia Gao, Lijia Chen, Jun-mei Li

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引用次数: 0

摘要

本文采用模糊神经网络方法建立了顾客对啤酒口味和偏好程度评价的仿真模型。阐述了在MATLAB软件的开发环境下，建立、训练和模拟网络的方法。并用实际数据进行了网络训练和误差测试，证明了该模型的可行性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Establishing Customers' Beer Tastes Analysis Model on the Basis of Fuzzy Neural Network Simulation

This paper uses fuzzy neural network method to establish simulation model about the evaluations of customers’ beer tastes and preference degree. It explains the methods of building, training and simulating networks in the development environment of MATLAB software. And it does network training and error testing by the actual data to prove this model is feasible.

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2010 International Conference of Information Science and Management Engineering

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