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BDK-SOMPLS
- 有监督自组织映射-偏最小二乘算法(A supervised self-organising map–partial least squares algorithm),可以用语多变量数据的回归分析-supervised self-organizing map - Partial Least Squares (A supervised self-org anising map - partial least squares algorithm) , terms of the multi - var
CHAP4_3
- 采用将BP神经网络的学习算法应用于PID控制中，使BP神经网络与PID控制算法结合起来，通过吸收两者的优势，使系统具有自适应性。这样系统可自动调节控制参数，更好地适应输入变量的变化，提高控制性能和可靠性。本文从BP神经网络的基本构成原理、学习规则和学习算法出发，设计了基于BP神经网络的PID控制器，并对其进行了仿真分析,结果表明，该控制方案可行、有效。-We apply the learning algorithm of BP neural network to the PID control,
Case-27-genetic-algorithm
- MATLAB神经网络30个案例分析_案例27 遗传算法的优化计算——建模自变量降维的源代码及数据-MATLAB Neural Network Analysis of 30 cases _ Case 27 genetic algorithm optimization- modeling the independent variable dimensionality reduction of the source code and data
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
order-track---prg
- 本程序可以实现变转速工况下对测取的信号实现重采样阶次跟踪分析。-The program can achieve variable speed operating conditions to achieve the measured signal taken resampling order tracking analysis.
eg6-duobianliangxitongkongzhi
- 《MATLAB神经网络30个案例分析》中的第6个例子，案例6 PID神经元网络解耦控制算法_多变量系统控制。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 6 examples, case 6 _ multi-variable PID neural network decoupling control algorithm control system. Hope to have certain help to ever
eg20-bianliangshaixuan
- 《MATLAB神经网络30个案例分析》中的第20个例子，案例20 神经网络变量筛选—基于BP的神经网络变量筛选。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of example, 20 cases of 20 neural network variable selection- based on BP neural network of variable selection. Hope to have certain h
eg27-zibianliangjiangwei
- 《MATLAB神经网络30个案例分析》中的第27个例子，案例27 遗传算法的优化计算——建模自变量降维。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 27 example, 27 cases of genetic algorithm optimization, modeling the independent variable dimension reduction. Hope to have certain hel
SampleMain
- 抽取变量：当数据集很大且必须分析全量用户时，可以通过抽取其中少量变量分析的方法-Extracting variables: When analyzing large data sets, and the total amount must be a user, the method by which a small amount of variable analysis extract