搜索资源列表
GA-SVM
- 遗传算法+支持向量机，非常的实用，希望对大家有用。-Genetic algorithms+ support vector machine, very useful, we want to be useful.
myga-bp
- 修改过的用c语言编写的遗传算法优化BP神经网络初始阈值的程序，效果还行。可根据实际情况加一些归一化。-Modified genetic algorithm to optimize BP neural network initial threshold c language program, the effect is okay. Actual situation according to add some normalization.
GA-.BP
- 通过遗传算法优化BP神经网络权系数，达到局部的最有、优-By genetic algorithm to optimize BP neural network weight coefficient to reach the most local, excellent
BP-GA
- 一种实现话务预测预测算法，基于遗传算法优化神经网络，源码+数据，效果很好-A traffic forecast prediction algorithm based on genetic algorithm optimization neural network source+ data, the effect is very good
GA-solving-BP
- 遗传算法解BP网络异或问题源代码，计算效果一般，可供参考-GA Algorithm solving BP ANN XOR problem
BP
- BP神经网络，经过遗传算法进行优化，效果比较好-BP neural network, through genetic algorithm optimization, the effect is better
Ga-BP
- 基于遗传算法优化的BP网络，非线性拟合程序。可用于多个方面，比如预测模型的建立，具有比BP网络更高的预测精度和收敛性。-Based on genetic algorithm optimization BP networks, nonlinear fitting procedure. Can be used in many aspects, such as the prediction model, higher than the BP network prediction accuracy an
遗传算法优化BP神经网络-非线性函数拟合
- 进行非线性函数拟合且用遗传算法对BP神经网络进行优化(The nonlinear function is fitted and the BP neural network is optimized by genetic algorithm)
MATLAB遗传算法
- 遗传算法和非线性规划的函数寻优，BP神经网络优化(Genetic algorithm and nonlinear programming function optimization, BP neural network optimization)
关于用遗传算法改进BP神经网络的MATLAB实现
- 在MATLAB中用遗传算法改进BP神经网络(Improvement of BP neural network by genetic algorithm in MATLAB)
遗传算法优化BP神经网络用于非线性函数拟合
- 遗传算法优化的bp神经网络用于非线性函数的拟合。(BP neural network optimized by genetic algorithm for nonlinear function fitting.)
案例3
- 遗传算法优化BP神经网络，对非线性函数进行拟合。(The genetic algorithm optimizes the BP neural network to fit the nonlinear function.)
基于遗传算法的BP算法
- 基于遗传算法的BP神经网络优化算法的经典实例。(An example of BP neural network algorithm)
GABP
- matlab实现的遗传算法改进的BP神经网络(BP neural network improved by genetic algorithm implemented by MATLAB)
智能信息处理
- 各种智能算法，蚁群，粒子群，遗传，BP.....(Various intelligent algorithms, ant colony, particle swarm, heredity, BP...)
基于遗传算法优化BP神经网络的非线性预测
- 针对BP神经网络的初始权值和阈值是随机选取的弊端，采用遗传算法寻优BP的初始权值和阈值，然后进行BP训练和测试。遗传算法包括编码 选择 交叉 和变异等操作(Aiming at the disadvantage that the initial weights and thresholds of BP neural network are randomly selected, genetic algorithm is used to optimize the initial weights and
遗传算法优化BP网络(用于电力负荷预测预测）
- 遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)
源代码
- 1 基于遗传算法的TSP算法（王辉） 2 基于遗传算法和非线性规划的函数寻优算法（史峰） 3 基于遗传算法的BP神经网络优化算法（王辉） 4 设菲尔德大学的MATLAB遗传算法工具箱（王辉） 5 基于遗传算法的LQR控制优化算法（胡斐）(1 TSP algorithm based on genetic algorithm (Wang Hui) 2 Function optimization algorithm based on genetic algorithm and non
GAbp
- 遗传算法改进的bp神经网络精准预测符合数据(Precision prediction coincidence data of BP neural network improved by genetic algorithm)
GA & PSO+BP
- 遗传算法与粒子群算法优化BP，有较好的分类效果(BP optimization based on Genetic Algorithm and particle swarm optimization)