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MATLAB智能算法(遗传_神经网络_蚁群_免疫)
- 针对matlab中智能算法工具箱求解多目标函数问题是用遗传算法工具箱更加方便的计算多约束优化问题。(Aiming at the problem that multi-objective function is solved by using the intelligent algorithm toolbox in matlab, it is more convenient to calculate multi-constrained optimization problem with genet
chapter3
- 遗传算法优化BP神经网络——非线性函数拟合(Optimization of BP neural network by genetic algorithm -- nonlinear function fitting)
MATLAB智能算法30个案例分析——源代码
- 算法优化，包括粒子群算法，遗传算法以及多种神经网络(optimization algrithm,include PSO algrithm GA and other kind algrithm ,and many kinds of Nural network)
nnrbf
- pid控制，RBF网络，通过神经网络来对PID的参数进行整定优化。(PID control, RBF network.The parameters of PID are optimized by neural network.)
mathematical modeling
- 文件包含了多种现代优化算法，如神经网络，模拟退火，禁忌搜索等智能算法。同时还有一些数学建模的相关的matlab实现。(The document contains a variety of modern optimization algorithms, such as neural networks, simulated annealing, tabu search and other intelligent algorithms. At the same time, there are some
代码
- MATLAB 代码 第1章 BP神经网络的数据分类——语音特征信号分类 第2章 BP神经网络的非线性系统建模——非线性函数拟合 第3章 遗传算法优化BP神经网络——非线性函数拟合 第4章 神经网络遗传算法函数极值寻优——非线性函数极值寻优 第5章 基于BP_Adaboost的强分类器设计——公司财务预警建模 第6章 PID神经元网络解耦控制算法——多变量系统控制 第7章 RBF网络的回归--非线性函数回归的实现 ....等58章(MATLAB code The first
智能算法
- 智能算法，含有遗传算法、模拟退火算法、BP神经网络优化、免疫算法、粒子群算法、蚁群算法等智能算法，MATLAB亲测可用。(Intelligent algorithm, including genetic algorithm, simulated annealing algorithm, BP neural network optimization, immune algorithm, particle swarm algorithm, ant colony algorithm and other
chapter3
- 用遗传算法优化神经网络，对非线性函数进行拟合。(The neural network is optimized by genetic algorithm, and the nonlinear function is fitted.)
NSGA2-ELM
- 以NSGA2算法作为学习算法优化ELM神经网络的权值，满足误差小、权值范围小的双目标(NSGA2 algorithm is used as a learning algorithm to optimize the weights of ELM neural network, and it meets the double objective with small error and small weight range)
ga-bp
- 通过GA算法对bp神经网络的阈值阀值进行优化(The threshold value of BP neural network is optimized by GA algorithm)
matlab
- Matlab中关于PSO优化BP神经网络的实例，以及具体的代码(An example of PSO optimization of the BP neural network in Matlab and the specific code)
30 lzq
- 用于pso等各种优化算法以及各种交叉使用的算法 神经网络还有单纯型法的最大最小优化算法(Various optimization algorithms, such as PSO, and all kinds of intersecting algorithm neural networks and the simplex optimization algorithm of simplex method)
danchunxing
- 各种优化算法以及各种交叉使用的算法 神经网络还有单纯型法的最大最小优化算法(Various optimization algorithms, all kinds of cross used algorithm neural networks and the simplex optimization algorithm of simplex method)
基于alopex的粒子群算法
- 该算法通过基于Alopex的粒子群优化算法，结合神经网络计算，恰当地对所给数据进行聚类并进行拟合，从何达到了很好的分类和优化效果(Based on the Alopex particle swarm optimization algorithm and neural network calculation, the algorithm can properly cluster and fit the data, which can achieve a good classification an
案例4
- 遗传算法优化，BP神经网络，非线性函数拟合(Genetic algorithm optimization, BP neural network, nonlinear function fitting)
hybrid_PSO___GD_training_of_RFNN
- 混合粒子群优化的神经网络训练完整代码，matlab实现(hybrid particle swarm optimization for RFNN training implemented by matlab)
GA
- 由BP神经网络的初始种群，然后基于MATLAB工具箱实现遗传算法优化方案，(The initial population of BP neural network is implemented, and then the genetic algorithm optimization scheme is implemented based on the MATLAB toolbox.)
ACO-BP预测
- 一种基于蚁群算法优化的BP神经网络，请大家参考指正(Ant Colony Optimization BP Neural Network)
chapter_GA
- 基于GA优化的SVM算法，它可以被用于预测分类(SVM algorithm based on GA optimization for prediction classification)
chapter_PSO
- 基于PSO优化的SVM算法，它可以用来预测分类(SVM algorithm based on PSO optimization can be used to predict classification.)