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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
基于神经网络的图像识别程序
- 基于神经网络的识别程序,程序采用三层BP网络训练,采用了普通定义中加入动量因子的训练法,精确度很高。-based on neural network identification procedures, procedures adopted a three-tier network training BP, with its definition of momentum into the training factor, a high
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,
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.
动量梯度下降算法和贝叶斯正则化算法BP神经网络程序实例
- 动量梯度下降算法和贝叶斯正则化算法BP神经网络程序实例,可以直接运行。
改进的BP神经网络
- 基于附加动量的BP神经网络,模拟函数
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
BP网络
- 这是我参考了n(n>=5,^_^)篇BP神经网优化方法的论文写出的BP神经网源代码,使用了批处理训练方法,带动量项、学习速率的自适应调整、仅对学习精度没有达到指定要求的模式训练,并且训练精度逐步加大,通过这种方法,极大地加快了训练速度;另外,对于0模式和1模式数目相差很大(5-6倍)都能达到很高的学习精度。-This is my reference to the n (NGT; Chapter 5 = ,^_^) BP neura
BPgaijin
- 采用动量梯度下降算法训练BP网络,有需要的下哦~-using gradient descent algorithm BP training network, it is necessary to the next, oh ~
ann
- bp神经网络算法的java实现(原创): 本程序为原创,实现改进的bp神经网络(动量因子),包含3个java文件,使用简单。-bp neural network algorithm to achieve the java (original): The original procedure to achieve improved bp neural network (momentum factor), contains 3 java
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 adju
ANN
- BP神经网络的matlab程序(动量梯度下降算法训练 、贝叶斯正则化算法)-BP neural network matlab program
ebp1
- matlab动量梯度下降算法 生成一个新的前向神经网络 对BP神经网络进行训练 对BP神经网络进行仿真-Momentum matlab gradient descent algorithm to generate a new feed-forward neural networks trained BP neural network on the BP neural network simulation
BP_附加动量法
- 附加动量法是在BP的基础上,在每一个权值变化上加上一项正比于前一次权值变化的值,且根据BP来产生新的权值变化。实质是将最后一次权值变化的影响通过一个动量因子来传递。(The additional momentum method is based on the BP and adds a value proportional to the previous weight change in each weight change, and
momentum factor.matlab
- 金融资产定价中动量效应的计算程序,使用MATLAB构建资产定价模型使用(momentum factor.matlab)
动量和反转策略
- 量化交易策略之动量与反转交易python版,用户可修改参数进行自定义,可借助米匡、聚宽等网站平台实现量化交易。动量反转策略被证实为长久以来仍有明显效果的交易策略(Quantitative trading strategy momentum and reverse trading Python version, users can modify the parameters to customize, with the help of M
策略
- 量化选股择时策略 动量策略 均线策略 kdj策略 海龟策略(python for stock trading)
code
- 用matlab做动量反转效应分析的编程模板(momentum factor, JEGADEESH AND TITMAN,Fama-French 3 Factor-Model)
UDF
- udf中动量编写较为稀少,x方向的编写如程序所见,其余方向的编写可按程序同理编写。(Momentum writing in UDF is relatively rare. The writing in X direction is as seen in the program. The writing in other directions can be done in the same way as that in the progr
define
- 激光焊接 FLUENT UDF 热源模型 能量源项 动量源项(laser welding UDF Fluent source)