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Adaptivestep-changingDirectionalGA
- 自适应变步长定向变异遗传算法解函数优化问题 需要调用GAOT5.-Adaptive Variable step directional variation of genetic algorithm optimization solutions function call GAOT5 needs.
updatesimplexmethod
- 单纯形法是一种不错的随机搜索算法，但是其受初始值的选取，步长大小的影响较大，容易陷入局部收敛。程序中列出了基本单纯形法，和几种改进的单纯形法，包括变步长的单纯形法，单纯形加遗传算法等。-simplex method is a good random search algorithm, but its initial value by the selection, step in a larger size, easy to be trapped into local convergence. P
bp神经网络算法及其改进
- bp神经网络算法及其改进,改进方法基于动量法和可变步长.-bp net algorithm and its improvement based on moment and variable step-size
runlength
- 用神经网络变步长算法实现模式识别，用C++实现-With variable step-size neural network pattern recognition algorithm, using C++ to achieve
10.1.1.8.5684
- variable step size LMS algorithm
x
- This derivation of the normalised least mean square algorithm is based on Farhang- Boroujeny 1999, pp.172-175, and Diniz 1997, pp 150-3. To derive the NLMS algorithm we consider the standard LMS recursion, for which we select a variable step size
BP_handwrittingRecognition
- 基于BP神经网络的数字图像识别 采用引进动量项和变步长法的改进型BP网络 train.m 训练 shibie.m 识别 actfun.m 激活函数 image.rar 图像库 -BP neural network-based digital image recognition and momentum term with the introduction of variable step method of improved BP network train.m trai
cor_ls
- 把辨识分成两步进行：第一步：利用相关分析法获得对象的非参数模型（脉冲响应或相关函数）；第二步：利用最小二乘法、辅助变量法或增广最小二乘法等，进一步求的对象的参数模型。如果模型噪声与输入无关，则Cor-ls相关最小二乘法（二步法）可以得到较好的辨识结果。Cor-ls相关最小二乘法（二步法）实质上是先对数据进行一次相关分析，滤除了有色噪声的影响，再利用最小二乘法必然就会改善辨识结果。能适应较宽广的噪声范围，计算量不大，初始值对辨识结果影响较小。但要求输入信号与噪声不相关-The identifica
main
- 基于神经网络的非线性系统建模,采用了变步长的BP算法。-Nonlinear System Modeling based on neural network, using a variable step size BP algorithm.