搜索资源列表
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
BPtrainedbyPSOalgorithm
- pso优化bp,程序大框架已有,自己修改数据就可以使用(PSO optimization BP, the program has been large frame, modify their own data can be used)
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)
PSO-BP
- 可用于智能算法的优化,程序代码可以自己修改。(It can be used for the optimization of intelligent algorithms, and the program code can be modified.)
PSO BP wind power
- 使用风电场历史数据,基于pso-bp算法进行风电功率点预测(PSO-BP algorithm for prediction of wind power)
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
PSOyouhuaBP
- PSO优化BP预测,预测结果更为准确,适应性高,泛化能力好(PSO optimization BP prediction)
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.)
PSOTrainBP
- BP神经网络容易陷于局部极小值,PSO算法在无约束非线性函数优化方面性能优越,通常可以直接找寻到全局最优解,即使不能搜多到全局最优解,也距离全局最优点不远。当然,基本PSO算法陷入局部极值也是有的。对于这个缺点目前还没有找到比较有效、省市的解决方案。本案例实现利用PSO算法和BP算法共同训练神经网络,先将网络进行PSO算法训练,然后BP算法接着进行小范围精细搜索,PSO算法训练神经网络的本质就是将输出误差函数(即能量函数)看成目标函数,PSO对能量函数进行全局寻找最小值。(BP neural n
PSO_BP
- 用粒子群算法对BP神经网络进行训练 亲测可用!(BP Neural Network Training with Particle Swarm Optimization Pro-test is available!)
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.)
PSO-BP-EMD预测农产品期货价格
- 采用PSO-BP-EMD方法预测农产品期货价格,并与小波方法、VMD方法进行对比,结果表明组合预测方法的精度更高。
pso-bp
- 采用粒子群算法优化BP神经网络,解决了陷入局部小的问题,同时提高了算法精度,可实现多输入单输出,或者多输入多输出,算法精度较高。
PSO_BP
- 实现BP分类,利用PSO优化BP,换数据可直接运行(Realize BP classification, use PSO to optimize BP, change data to run directly)
pso_bp软土路基沉降
- 用pso对bp神经网络进行优化,对软土路基进行沉降预测(Using PSO to optimize BP neural network to predict the settlement of soft soil subgrade)