搜索资源列表
PSO-BP
- PSO粒子群算法改进的BP神经网络,更改文件位置后即可使用-PSO PSO improved BP neural network can be used to change the file location
PSO-BP
- 自编程序,可以用于BP神经网络预测,利用PSO进行参数寻优,具有较好的效果-Self programming, can be used for BP neural network, using the PSO for parameter optimization, with good results
pso-bp
- 优化BP网络非常的好,对希望对初学者有学习神经网络这方面的知识有很大的帮助-Optimized BP network is very good, for beginners who want to learn the knowledge of neural networks in this area of great help
PSO
- 基于粒子群的神经网络优化算法的应用,在土壤水分特征曲线中的应用。-Neural network based on particle swarm optimization algorithm applied in the soil moisture characteristic curve application.
PSO-BP-wind-power
- 采用粒子群算法PSO优化BP神经网络,进行风电功率预测,含实际数据和案例-Particle swarm optimization PSO BP neural network for wind power prediction, including the actual data and case
PSO-BP
- pso训练bp神经网络的程序,简单易用,欢迎交流探讨-pso bp neural network training program, easy to use, welcomed the exchange of
PSO-optimization
- 应用粒子群算法来寻找BP神经网络最优的初始权值还有阈值,本程序主要是以此来拟合函数,读者可以根据需要,小小地修改一下BP神经网络的代码,可以实现诸如模式识别等功能,收敛效果很好,-Application of particle swarm algorithm to find the optimal initial BP neural network weights as well as the threshold value, the procedure is a way to fit func
pso-elman
- 这是一个标准的Elman的程序外加一个利pso算法优化Elman神经网络权值的程序,可以运行出图,简单易懂!-This is a standard procedure plus a profit Elman pso algorithm to optimize Elman neural network weights program, you can run out of maps, easy to understand!
PSO-bp
- 基于粒子群优化算法和BP神经网络的混合算法,用于求解复杂问题!-The hybrid algorithm of particle swarm optimization algorithm based on BP neural network and, for complex problem solving!
PSO-BP-image-segmentation
- 籽子群优化算法优化BP神经网络,使用优化后的神经网络对图像进行分割。包括:籽子群优化算法,籽子的编码,最优权值和阈值的后成,基于籽子群优化算法的神经网络的培训,图像的分割。-The BP neural network optimized by Particle Swarm Optimization algorithm for image segmentation
PSO
- 基于粒子群优化的RBF神经网络的预测,主要用于趋势的预测。-Predict particle swarm optimization based on RBF neural network, mainly for trend forecasts.
PSO-BP
- pso-bp神经网络优化程序,可对多类故障进行分类。-pso-bp neural network optimization procedures, multi-fault classification.
pso-bp
- 粒子群算法,也称粒子群优化算法(Particle Swarm Optimization),缩写为 PSO, 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种,和模拟退火算法相似,它也是从随机解出发,通过迭代寻找最优解,它也是通过适应度来评价解的品质,但它比遗传算法规则更为简单,它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作,它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现
PSO-RBF-wonderful
- 很详细的粒子群优化径向基神经网络的例子。-Very detailed examples of particle swarm optimization RBF neural network
pso-bp-wonderful
- 很详尽的粒子群优化BP神经网络的例子,能用-Very detailed examples of particle swarm optimization (BP) neural network, can be used
pso-ANN
- 用pso算法优化神经网络程序(matlab)-Using PSO to optimize the neural network algorithm (matlab)
pso
- 本程序是用粒子群算法优化神经网络算法的MATLAB源程序-This MATLAB procedure is to use particle swarm algorithm to optimize neural network algorithm
PSO-BPprediction
- 利用粒子群算法和BP神经网络算法进行用电负荷的预测-prediction using partical swarm option and BP algorithm
PSO-BPmatlabkexing
- 一个利用粒子群优化算法训练BP神经网络的程序,在matlab环境中,代码简便可行。-A particle swarm optimization algorithm is used to train the BP neural network program, in the MATLAB environment, the code is simple and feasible.
PSO-bp
- 粒子群优化BP神经网络,代码通俗易懂,学习一下-PSO Optimize BP neural network, the code easy to understand