搜索资源列表
动量-自适应学习调整算法(BP改进算法)应用实例
- 动量-自适应学习调整算法(BP改进算法)应用实例.zip- Momentum - auto-adapted study adjustment algorithm (BP improvement algorithm) application example zip
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.
gaijin-BP
- 包含了用matlab编写的bp程序和动量-自适应学习调整算法(BP改进算法)程序。-includes using Matlab bp prepared by the procedures and momentum-adaptive learning algorithm adjustments (BP improve operator France) program.
demobpm
- 动量bp算法源程序。网上找来的。希望有用。多谢支持-momentum bp algorithm source. The design of the Internet. Hope useful. Thank you for your support
bp.pso.rar
- 标准BP神经网络算法程序：动量BP算法程序：％ 调用 TRAINGDX 算法训练 BP 网络 粒子群优化神经网络源程序,The standard BP neural network algorithm procedure: momentum BP algorithm procedure: TRAINGDX called BP network training algorithm particle swarm optimization neural network source code
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.
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.example
- 采用动量梯度下降算法训练BP网络，采用两种训练方法，即 L-M 优化算法（trainlm）和贝叶斯正则化算法（trainbr），用以训练 BP 网络-Gradient descent algorithm using momentum BP network training, using two training methods, namely, LM optimization algorithm (trainlm) and Bayesian regularization algorithm (t
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
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
BP
- 神经网络bp算法VC++实现网络的相关运算有：1、网络的输入输出接口，即训练数据的输入，各层权值和节点阈值的输出；2、网络的学习，包括前向传播运算和反向传播运算，误差估计，权值阈值修改；3、网络预测的实现等等。其中网络的学习算法采用变步长和加动量项的优化学习算法，经过我的实验对网络的学习效率有很大提高-Neural network bp algorithm VC++ to achieve the network-related operations: 1, the network input a
BP-NET
- 用动量梯度下降法训练BP网络 已知输入向量为P=[-1,-2,3,1 -1,1,5,3]，目标输出为T=[-1,-1,1,1]。 -Gradient descent with momentum BP network training input vector is known as P = [-1,-2,3,1 -1,1,5,3], the target output for the T = [-1,-1,1, 1].
BP-of-Nonlinear-
- 本源代码解决了可以实时对误差进行显示的增加动量项的BP神经网络对非线性函数的逼近。有一定的收敛效果，目前参数已经调好，只需反复运行即可。-The origin code to solve the momentum BP neural network can display real-time error on the approximation of nonlinear function. Convergence, the parameters have been fine, just can
Momentum-BP-Algorithm
- 神经网络 动量BP算法的误差性能曲线仿真程序-Neural Networks