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。
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.
出处
《齐齐哈尔大学学报(自然科学版)》
2009年第1期30-32,共3页
Journal of Qiqihar University(Natural Science Edition)
关键词
神经元网络
智能电梯
联想学习
权值
neural networks
intelligent elevators
lenovo study
weight