| 基于神经网络理论的智能电梯联想学习功能设计 |
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| 引用本文： | 郭祥,唱江华,李伯权.基于神经网络理论的智能电梯联想学习功能设计[J].齐齐哈尔大学学报(自然科学版),2009,25(1). |
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| 作者姓名： | 郭祥 唱江华 李伯权 |
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| 作者单位： | 齐齐哈尔大学,计算机控制与工程学院,黑龙江,齐齐哈尔,161006 |
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| 摘 要： | 介绍了一种基于神经元网络理论的单部智能电梯联想学习的设计过程.通过调整网络输入权值使各输入之间产生内在的联系,达到乘梯者不输入目的层的情况下电梯也可以推测乘梯者的目的层,该方法适用于使用专用电梯的各种场合,给使用者带来了方便,减少了乘梯时间.
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| 关 键 词： | 神经元网络 智能电梯 联想学习 权值 |
Base on neuralnetwork theory of intelligent design lift lenovo learning |
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| GUO Xiang,CHANG Jiang-hua,LI Bo-quang.Base on neuralnetwork theory of intelligent design lift lenovo learning[J].Journal of Qiqihar University(Natural Science Edition),2009,25(1). |
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| Authors: | GUO Xiang CHANG Jiang-hua LI Bo-quang |
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| Institution: | College of Computer Control and Engineering;Qiqihar University;Heilongjiang Qiqihar 161006;China |
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| Abstract: | This paper present a neural network based on the theory of Intelligent Single-lift Lenovo study of the design process.By adjusting the value of the network the right to enter the importation of between intrinsically linked to those reached by ladder do not enter the objective circumstances of the elevator can also speculate by the purpose of the ladder.The method applies to the use of elevaters for the various occasions.Has brought convenience to users and reduce the time by ladder. |
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| Keywords: | neural networks intelligent elevators lenovo study weight |
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