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轧制力预报人工神经网络设定模型的开发
引用本文:张志辉,王希哲,陈金英,王国栋,刘相华. 轧制力预报人工神经网络设定模型的开发[J]. 轧钢, 1999, 0(1): 9-11
作者姓名:张志辉  王希哲  陈金英  王国栋  刘相华
作者单位:1. 北京有色金属研究总院·100088
2. 中国钢铁工贸集团公司·北京
3. 东北大学
摘    要:研究了轧制力设定控制的人工智能实现方法。在建立训练及预测数据模式库的基础上开发了轧制力预报人工神经网络软件,同时对实际生产中的历史数据进行了模拟在线预报,达到了较高精度。另外,给出了一种利用人工神经网络进行模拟正交实验的新思路。

关 键 词:人工神经网络 热轧机组 带材 轧制力预报

The Model Development to Prediction Rolling Force by Using Artificial Neural Network
Zhang Zhihui, Wang Xizhe. The Model Development to Prediction Rolling Force by Using Artificial Neural Network[J]. Steel Rolling, 1999, 0(1): 9-11
Authors:Zhang Zhihui   Wang Xizhe
Abstract:The artificial intelligence method to setup and control rolling force is researched. Based on the built train and prediction data bank, the artificial neural network software is developed to predict rolling force. The on-line prediction by practical data is carried out. and the predicted precision is high. Mean while, a new thought of simulation orthogonality experiment is put forward.
Keywords:artificial neural network   hot rolling mill   rolling force setup   simulation experiment
本文献已被 CNKI 维普 万方数据 等数据库收录!
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