搜索资源列表
PSO_BP
- 这是一篇基于PSO-BP神经网络的图像压缩算法的文献,有助于初学者学习.
pso_bp
- 用pso优化bp初始权值，用于函数逼近。
pso_bp
- PSO训练BP网络的matlab代码，下载后，加入输入输出样本即可运行。-PSO trained BP network matlab code, download, add input and output samples can be run.
GA_BP-pso_bp
- 遗传算法与神经网络混合的算法程序、粒子群优化与神经网络混合的算法程序，可以进行算法结果的比较-Genetic algorithm and neural network algorithm for mixed procedures, particle swarm optimization and neural network algorithm for mixed procedures, can be the result of comparison algorithm
PSO_BP
- 基于粒子群和BP神经网络的混合优化策略算法。将改进PSO算法与BP神经网络结合，用PSO算法取代梯度下降法来优化神经网络的连接权值和阈值。程序简单易懂。-Based on Particle Swarm and the BP neural network algorithm for hybrid optimization strategy. Will improve the PSO algorithm and BP neural network, using PSO algorithm to re
PSO_BP
- pso优化BP，非常实用，具有较好的预测能力-pso optimal BP，Very practical, with good predictability
pso_bp
- 基于人工神经网络的粒子群算法的软土沉降预测分析-Artificial Neural Network Based Particle Swarm settlement prediction of soft clay
PSO_BP
- 基于粒子群和BP神经网络的混合优化策略算法-Based on PSO and BP neural network algorithm for hybrid optimization strategy
PSO_BP
- 粒子群优化算法应用于神经网络优化程序。分为无隐含层、一隐含层、二隐含层。运行DemoTrainPSO.m即可-Particle swarm optimization applied to neural network optimization program. No hidden layer is divided into a hidden layer, two hidden layers. You can run DemoTrainPSO.m
PSO_BP
- 将pso算法与BP神经网络结合，忘对大家有帮助-combine PSO algorithm with BP neural network
PSO_BP
- 应用鸟群算法（PSO）优化全局神经网络权值，可以使用-Applications birds (PSO) algorithm to optimize the overall neural network weights, you can use
yan-PSO_BP
- PSO优化BP，实现短期风电功率预测,考虑了数据插值前处理和预测结果的再优化.pso optimized BP for wind power short term forecasting-pso optimized BP for wind power short term forecasting
PSO_BP
- 用PSO粒子群算法优化BP神经网络参数，最后输出BP网络-Use PSO particle swarm optimization BP neural network parameters, the final output BP Network
pso_bp
- pso算法从随机解出发，通过迭代寻找最优解，通过适应度来评价解的品质，粒子群优化Bp网络源程序，仅供参考-pso algorithm random solutions, through iterative find the optimal solution, quality, particle swarm to uate the fitness solution by optimizing Bp network source code, for reference only
PSO_BP
- 粒子群优化BP神经网络算法，采用PSO优化神经网络的结构层个数，及隐含层的权值，相较BP神经网络，预测效果更好-Particle swarm optimization BP neural network algorithm, using PSO to optimize the number of neural network structure layer, and the value of the hidden layer, compared to BP neural network, the
PSO_BP
- 用粒子群算法PSO优化BP神经网络，改善预测精度(The BP neural network is optimized by particle swarm optimization (PSO) to improve the prediction accuracy)
38430124GA_BP-pso_bp
- 这是一种遗传算法和BP网络结合的算法，粒子群和BP网络，这两种算法进行结果比对。(This is a genetic algorithm and BP network combination algorithm, particle swarm and BP network, the two algorithms for results comparison.)
PSO_BP
- 一个利用PSO粒子群优化算法训练BP神经网络的程序，在matlab环境中进行操作，代码简便可行。(PSO optimization neural network)
利用PSO训练BP神经网络的MATLAB源码 (1)
- PSO优化BP网络，能有效优化BP网络的权值和阈值，可在matlab上直接运行(PSO optimizes the BP network, it can effectively optimize the weight and threshold of BP network, and can run directly on MATLAB.)
PSO_BP预测Matlab源码
- PSO_BP预测Matlab源码，很详细，适合初学者(PSO_ BP prediction matlab source code, very helpful for beginners)