工业控制技术国家重点实验室电力新闻-新电力网 软测量建模研究 《浙江大学学报(工学版)》2004-06 基于神经网络PLS方法的软测量建模研究 通过神经网络(neurals network,NN)逼近策略,由偏最小二乘回归(partial least squares, PLS)方法拓展得到非线性
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分析了通过神经网络来实现响应面模型构建的方法。
The construction of response surface models by the artificial neural network is analyzed.
通过神经网络的自学习、实现PID控制参数的自适应调整。
The adapted-self tune-up for PID control was completed through learning-self of neural network.
摘要:通过神经网络的建模,建立的遗传神经网络的预测系统。
Abstract: : By modeling and neural network, we built the prediction system of genetic neural network.
And people who study this often claim to be studying neural network modeling to try to build smart machines by modeling them after brains.
神经网络的研究者们,通常会说他们是在研究神经网络模型,试图通过模仿大脑反应,而制造出智能机器
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