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一个主要用于预测和分类的源程序
- 开发环境:Matlab 简要说明:程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-development environment : Matlab brief descr iption : program includes the installation including : number, the total sample number, the number of samples modeling
bp2
- 基于梯度下降的BP算法,可以调整学习率可动量因子.-based on the gradient descent algorithm BP, the learning rate can be adjusted momentum factor.
Backpropagation Network with Bias Terms and Moment
- 附加了动量项BP神经网络-Additional items of Momentum BP neural network
BPpredict
- 运用比例共轭梯度动量算法来训练BP网络并对机械振动峰峰值进行预测。-use ratio conjugate gradient algorithm to train the momentum BP also peak of mechanical vibration prediction.
BPexample
- 开发环境:Matlab 简要说明:动量-自适应学习调整算法。在实际应用中，原始的BP算法很难胜任，因此出现了很多的改进算法。BP算法的改进主要有两种途径，一种是采用启发式学习方法，另一种则是采用更有效的优化算法。本例采用动量BP算法，来实现对网络的训练过程，动量法降低了网络对于误差曲面局部细节的敏感性，有效地抑制网络陷于局部极小。-development environment : Matlab Brief Descr iption : Momentum-adaptive learning
wxy353
- 程序包含的设置包括：列数、样本总个数、建模样本数、预报因子数、预报对象数、学习因子、 动量因子、训练次数、总体误差、隐节点数。-procedures contained in the set include : number, the total sample number, the number of samples modeling, forecasting several factors, forecasting several targets, learning factor, mome
BP神经网络结构PID控制器设计
- BP神经网络结构PID控制器设计，严格按照增加动量项写的MATLAB程序。,Structure of BP neural network PID controller design, in strict accordance with the increasing momentum of procedures written in MATLAB.
bpnnet_154
- L-M算法。除了动量法(基于梯度下降的训练算法)外，学习率自适应调整策略是BP算法改进的另一种途径，它利用Levenberg-Marquardt优化方法，从而使得学习时间更短。其缺点是，对于复杂的问题，该方法需要很大的存储空间。 -L-M algorithm. In addition to momentum (based on the gradient descent algorithm for training), learning rate adaptive strategy is to i
BPandimprovethestandardmethodofBPalgorithm
- 标准BP算法及改进的BP算法应用，主要讲了标准的BP算法，附加动量法，自适应学习率调整法。-Standard BP algorithm and the application of improved BP algorithm, the main speaker of the standard BP algorithm, the additional momentum method, adaptive learning rate adjustment method.
3BPneuralnetwork
- 关于神经网络的编程与应用 给出3层（输入层、隐含层、输出层）的BP网络代码（采用了动量算法）-On neural network programming and applications are given 3-layer (input layer, hidden layer, output layer) of the BP network code (using the momentum algorithm)
lightweightbackpropagationneuralnetwork
- * Lightweight backpropagation neural network. * This a lightweight library implementating a neural network for use * in C and C++ programs. It is intended for use in applications that * just happen to need a simply neural network and do not
BP
- 内含动量BP算法的C语言程序，并有详细的注解-Momentum BP algorithm embedded C language programming, as well as detailed comments
BP_neural_network
- 采用动量梯度下降算法训练BP网络，程序后面有详细注释-Gradient descent algorithm using momentum BP network training, procedures followed have detailed notes
subb
- 利用动量梯度下降算法训练BP网络，得到误差显示图，并最终进行预测-Gradient descent algorithm using momentum BP network training, the error display map, and, ultimately, to predict
MATLAB-bp
- 是1-n-1和2-n-1型的基于MATLAB的标准BP算法程序，加入了动量项，以便获得更好的训练效果-Is 1-n-1, and 2-n-1 type of standards-based BP algorithm MATLAB process of accession to the momentum in order to obtain better training results
ATN_BP
- vb 写的bp网络代码，带显示训练误差，可以选择动量项-vb code to write the bp network with shows training errors of momentum can choose
ALOPEX
- 用神经网络bp动量算法实现模式识别，用C++实现-Momentum with neural network pattern recognition algorithm, using C++ to achieve
dltd
- 采用动量梯度下降算法训练BP网络。在本源码中，训练样本定如下：p=[-1 -2 3 1 -1 1 5 -3] 目标矢量为t=[-1 -1 1 1]-Gradient descent algorithm using momentum BP network training. In this source, the training sample set as follows: p = [-1-2 3 1 -1 1 5-3] target vector for t = [-1-1 1 1]
BP
- BP neural network加动量项的算法-BP neural network algorithm increases the momentum of
Back-propagation_NN
- BP neural network implementation with generalized delta learning rule and momentum-BP neural network in Matlab