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pso-bpguzhangzhenduan
- 应用粒子群优化算法优化bp网络的权值和阈值应用于故障诊断，程序可行，效果明显编写详细，注释清晰。-Application of particle swarm optimization algorithm to optimize the weights and thresholds of BP network is applied to fault diagnosis, the program is feasible, the effect is obvious, and the notes ar
bp
- 避免了传统BP神经网络算法的局部最小值问题，研究结果表明该方法能获得较高诊断准确率，具有可行性- The method of diagnosis fault based on PSO-H-BP neural network for high voltage circuit breakers is more accurate and feasible compared with traditional BP neural network
PSO
- 神经网络构建，粒子群算法优化BP神经网络迭代寻优-Neural network building , iterative particle swarm algorithm to optimize the BP neural network optimization
PSO-to-Optimize-BP-NN-procedure
- 在Matlab中PSO算法可用于BP神经网络的网络权值优化,PSO算法比传统的BP神经网络采用误差反向传播来调整网络连接权值可以有更大的空间内搜索的优势。-The PSO calculate way can be used for the network power of BP nerve network to be worth in Matlab excellent turn, the PSO calculate way is more anti- than traditional BP ne
Study-of-Improved-BP-Neural-Network-on-Rotor-Spee
- In this paper three different methods such as GDM AGDM and modified PSO are adopted to optimize the neural networks, and simulate the DTC system with MATLAB/SIMULINK. The result shows: modified PSO algorithm can solve the problem of neural n
PSO
- bp神经网络预测 采用了PSO粒子群优化方法来选择神经网络中的权重值-bp neural network prediction using PSO PSO method to the neural network weights
pso-optimization
- 基于粒子群（pso）的参数寻优，可以做BP和svm的参数寻优。-Based on Particle Swarm (pso) parameter optimization, BP and svm you can do the parameter optimization.
PSO-for-BP
- 用粒子群算法来训练网络参数，直到误差趋于一稳定值，然后用优化的权值用于BP算法-PSO is used to optimize connection weights of forward-back neural network until the learning error has tended to stability, Then we use BP algorithm with optimized weights to finish short-term load forecasting
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.)
55593403PSO-BPmatlabkexing
- 改程序是一种智能算法程序，利用PSO优化BP网络进行寻优，需要的同学可以自己下载(Change the program is an intelligent algorithm procedures, the use of PSO optimization BP network for optimization, the need for students can download their own)
95302950PSOBP
- 这是另外一种粒子群优化BP网络进行寻优的智能程序，需要的同学可以参考一下。(This is another kind of particle swarm optimization, BP network optimization of intelligent procedures, the students need to refer to.)
改进的PSOBP
- 使用改进的PSO算法优化BP神经网络是实现数据的分类。调试通过，替换样本数据即可使用(Optimizing BP neural network using improved PSO algorithm is the classification of data. Debug through, replace sample data can be used)
MATAB神经网络30个案例分析
- 该PDF共有30个MATLAB神经网络的案例，包括BP、RBF、SVM、SOM、Hopfield、LVQ、Elman、小波等神经网络；还包含PSO(粒子群)、灰色神经网络、模糊网络、概率神经网络、遗传算法优化等内容。本PDF作为本科毕业设计、研究生项日设计、博士低年级课题设计参考书籍，同时对广大科研人员也有很高的参考价值。(The PDF has a total of 30 MATLAB in the case of neural networks, including BP, RBF, SVM
psobp2
- 利用粒子群算法优化BP神经网络的权重和阈值。(Using particle swarm optimization to optimize weights and thresholds of BP neural networks.)
粒子群神经网络仿真股票分析包
- 粒子群神经网络仿真股票分析包，可以直接拿来利用，只要输入股票的相关数据，即可仿真出相应的结果。(The PSO neural network simulation of the stock analysis package can be used directly. As long as the related data of the stock are input, the corresponding results can be simulated.)
pso优化bp神经网络的程序
- 一种基于粒子群算法的bp神经网络优化，程序可用。(A BP neural network optimization based on particle swarm algorithm is available.)
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.)
改进版的bp神经网络算法编程（pso）
- 神经网络算法，适合适合科研人员和学生进行优化和调参。新手理解鱼群算法，希望大家可以认真学习其中的道理。(Neural network algorithm is suitable for scientific researchers and students to optimize and participate. Novice understands Fish Swarm Algorithms, I hope you can seriously learn the truth.)
matlabprogram
- 智能优化算法及其MATLAB仿真实例，包括进化类算法，群智能算法，模拟退火算法，禁忌搜索算法，神经网络算法等程序源码(Intelligent optimization algorithm and MATLAB simulation examples, including evolutionary algorithm, swarm intelligence algorithm, simulated annealing algorithm, tabu search algorithm, neural
使用PSO优化BP进行故障诊断的代码
- 这是关于使用PSO优化BP进行故障诊断的代码，比较新，能够取得比较高的正确率，对新手也是学习的机会，可以学习用，写文章很有帮助。加入数据可以直接运行！！！