搜索资源列表
eg4-feixianxinghanshujizhi
- 《MATLAB神经网络30个案例分析》中的第4个例子，案例4 神经网络遗传算法函数极值寻优-非线性函数极值。希望对大家有一定的帮助！-The MATLAB neural network analysis of 30 cases of 4 example, case 4 optimization extreme genetic algorithm neural network function- nonlinear function extremum. Hope to have certain h
feixianxingnihe
- 在matlab软件中编程实现基于遗传算法优化BP神经网络非线性系统拟合算法-In the matlab software programming based on genetic algorithm to optimize the BP neural network nonlinear system fitting method
GA
- 利用遗传算法来求解非线性方程组，详细的Matlab程序-matlab program for GA to solve the nonlinear equations
neural-network-analysis-of-30-cases
- MATLAB神经网络30个案例分析，遗传算法优化BP神经网络-非线性函数拟合等30种代码-MATLAB neural network 30 case studies, genetic algorithm optimization BP neural network- a nonlinear function fitting and other 30 kinds of code
genetic-alg-BP-nonlinear-fitting
- matlab智能算法遗传算法优化BP神经网络-非线性函数拟合-genetic algorithm BP neurotic net nonlinear fitting
GA
- 遗传算法是一种通过模拟自然进化过程搜索最优解的方法。其MATLAB程序, 采用二进制Gray编码,采用基于轮盘赌法的非线性排名选择, 均匀交叉,变异操作,并引入了倒位操作。-Genetic algorithm is a method of searching the optimal solution for the natural process of evolution through simulations. Its MATLAB program using a binary Gray co
chapter3
- matlab神经网络案例分析源代码遗传算法优化BP神经网络——非线性函数拟合-matlab neural network source code analysis Case genetic algorithm to optimize BP neural network- a nonlinear function fitting
fenfun
- 利用自然梯度算法，利用最小二乘法进行拟合多元非线性方程，用MATLAB编写的遗传算法路径规划。- Use of natural gradient algorithm, Multivariate least squares fitting method of nonlinear equations, Genetic algorithms using MATLAB path planning.
0-1
- 通常，非线性整数规划是一个具有指数复杂度的NP问题，如果约束较为复杂，Matlab优化工具箱和一些优化软件比如lingo等，常常无法应用，即使能应用也不能给出一个较为令人满意的解。这时就需要针对问题设计专门的优化算法。下面举一个遗传算法应用于非线性整数规划的编程实例，供大家参考！-Typically, nonlinear integer programming problem is NP exponential complexity, if the constraint is more comp
chapter_matlab_3
- 根据BP神经网络理论和遗传算法，在MATLAB中编程实现基于遗传算法的BP神经网络的非线性拟合算法。-According to BP neural network theory and genetic algorithms in MATLAB programming nonlinear fitting algorithm genetic algorithm BP neural network.
chapter4_matlab_4
- 根据BP神经网络理论和遗传算法，在MATLAB中编程实现神经网络的非线性函数寻优。-According to BP neural network theory and genetic algorithm, nonlinear functions in MATLAB programming neural network optimization.
yingsou
- 利用最小二乘法进行拟合多元非线性方程，cordic算法的matlab仿真，遗传算法无功优化。- Multivariate least squares fitting method of nonlinear equations, cordic matlab simulation algorithm, Genetic algorithm based reactive power optimization.
Evolutionary-ANFIS-Training
- 用MATLAB实现自适应神经模糊推理系统（ANFIS）结构训练。代码中，首先创建一个初始原ANFIS结构，然后采用遗传算法（GA）、粒子群优化（PSO）来训练ANFIS。此进化训练算法可用于解决非线性回归函数逼近问题。-Implementation of adaptive neural fuzzy inference system (ANFIS) based on MATLAB. Code, the first to create an initial original ANFIS struct
kiefiu
- 关于非线性离散系统辨识，最终的权值矩阵就是滤波器的系数，用MATLAB编写的遗传算法路径规划。- Nonlinear discrete system identification, The final weight matrix is ??the filter coefficient, Genetic algorithms using MATLAB path planning.
genetic
- matlab中的遗传算法（简称GA）工具箱。遗传算法提供了一系列求解非线性、多模型、多目标等复杂系统优化问题的通用框架。-matlab genetic algorithm (abbreviated GA) toolbox. GA provides a series of solving nonlinear, multi-model, multi-objective optimization problems of complex systems such as a common framewor
GA-add-TO-BP
- matlab神经网络30例的案例3 遗传算法优化BP神经网络-非线性函数拟合-matlab neural network cases 30 cases of 3 genetic algorithm optimization BP neural network- a nonlinear function fitting
luipan_v37
- 对HARQ系统的吞吐量分析，用MATLAB编写的遗传算法路径规划，基于分段非线性权重值的Pso算法。- HARQ throughput analysis of the system, Genetic algorithms using MATLAB path planning, Based on piecewise nonlinear weight value Pso algorithm.
genetic-algorithm
- 根据遗传算法和BP神经网络理论，在matlab软件中编程实现基于遗传算法优化的BP神经网络非线性系统拟合算法。-According to the theory of genetic algorithm and BP neural network, in the matlab software programming to realize BP neural network nonlinear systems based on genetic algorithm optimization fitt
sougeng-V0.1
- 通过反复训练模板能有较高的识别率，用MATLAB编写的遗传算法路径规划，基于分段非线性权重值的Pso算法。- Through repeated training yRsFwgylate have higher recognition rate, Genetic algorithms using MATLAB path planning, Based on piecewise nonlinear weight value Pso algorithm.
RSSD
- 该代码针对滚动轴承故障振动信号呈现出非线性、非平稳性及噪声背景较强等特点，为了有效提取故障特征，使用的一种共振稀疏分解（Resonance-based sparse signal decomposition，RSSD）与小波变换相结合的振动信号特征提取技术的相关仿真实验程序和轴承数据分解程序。其中，共振稀疏分解是基于品质因子可调小波变换与形态分量分析的一种新的信号分解方法，与常规的基于频带划分的信号分解方法不同，它依据信号各分量的振荡形态不同对信号进行分解。 同时还提供了可调谐 Q 因子小波