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复件shupidwcandcontrolpid1psd1
- 自适应PSD神经元控制,用于伺服电机的调速度,比单神经元有跟好的鲁帮性-adaptive neural control for the servo-motor speed, a single neuron with good Lu hand
BP-nn
- BP神经网络分类器 程序有两种运行状态，一个是学习，另外一个是分类。在学习状态下，在Dos命令符下输入bp learn，便开始学习了，学习的结果放在weight.dat中；在工作状态下，在Dos命令符下输入bp work，便开始识别classfyme.dat中的数据了，识别完成后，结果放在results.dat中。在bp运行的任何一种状态下，都不能手工打开Weight.dat、Sample.dat、classfyme.dat、results.dat中的任何一种。~..~-BP neur
mat1
- 织物手感 运用神经网络 进行评价 纺织SCI EI文献-Fabric hand evaluation of the use of neural networks textile literature SCI EI
Recog
- 一个手势识别程序，使用有监督的神经网络实现，用户可以在窗口区域内用鼠标模拟手势，程序可以自动识别，而且可以自定义手势-a gesture recognition program based on Neural Network,the gestrue can be simulated by mouse move, furthermore, you can also define the gesture by yourself
MycodeIII
- this a Matlab code for classification of Hand writed data by Neural network (Elman Network)-this is a Matlab code for classification of Hand writed data by Neural network (Elman Network)
Neural_char_regco
- code for hand writing recognition using neural network
feasure
- 利用BP神经网络对输入的用户自定义的手绘图形进行初分类，得到较好的预测效果-BP neural network to input user-defined classification of the early hand-drawn graphics, get a better prediction
spline-function-neural-network
- 基于样条权函数神经网络的手写系统实现。验证了样条权函数神经系统在手写数字识别中的应用价值。-Function neural network system to achieve spline right hand. Verify that the spline weight function of the nervous system applications in handwritten digits recognition.
handgeomprot
- Hand geometry recognition technology is in broad use for access control as well as time and attendance applications. An individual places their hand on a reader, and their identity is verified based upon the location of a number of key points on thei
acopann
- the combination of artificial neural network (ANN) and ant colony optimization (ACO) algorithm has been utilized for modeling and reducing NOx and soot emissions a direct injection diesel engine. A feed-forward multi-layer perceptron (MLP) network is
CNN
- 卷积神经网络是一种特殊的深层的神经网络模型，它的特殊性体现在两个方面，一方面它的神经元间的连接是非全连接的， 另一方面同一层中某些神经元之间的连接的权重是共享的（即相同的）。它的非全连接和权值共享的网络结构使之更类似于生物 神经网络，降低了网络模型的复杂度（对于很难学习的深层结构来说，这是非常重要的），减少了权值的数量。-Convolution neural network is a kind of special deep neural network model, its particula