搜索资源列表
pso
- 改进的pso-bp神经网络预测模型,用于多输入多输出的预测控制-The improved pso- bp neural network prediction model,which used to predict multiple input multiple output
GA-PSO-BPnn.pdf
- 基于GA-PSO-BP组合的神经网络应用研究,有需要请下载。-Application of Neural Network GA-PSO-BP portfolio based on the need to download.
pso
- 资料包括PSO,PSO-PID,PSO-AM,PSO-BP,FOA.通过粒子群能够很好的解决优化问题,对于学习PSO的初学者有很大的帮助,另外提供一个果蝇算法,望比对学习。-Data including PSO and PSO- PID, PSO- AM, PSO and BP, FOA.
pso-bp.tar
- 基于粒子群算法优化BP神经网络参数的matlab程序,极大地提高了预测精度。-Based on particle swarm optimization BP neural network parameters matlab program, which greatly improved the prediction accuracy.
PSO-BP
- 利用粒子群算法(PSO)来优化BP神经网络的权值和阈值,可运行,fun.m是用来计算适应度(误差)值的,在PSO.m中点击运行即可。-Using particle swarm optimization (PSO) to optimize the BP neural network weights and threshold, can run, fun.m is used to calculate the fitness value (error)
PSO-BP
- 使用PSO算法优化BP网络,可使BP网络快速收敛,程序准确,极具参考价值-Use PSO algorithm to optimize BP network, BP network allows fast convergence program accurate, great reference value
PSO论文
- 利用PSO优化Bp算法, 同时提供了详细地论文,代码仅供参考(Papers and code, on the use of PSO to improve the BP algorithm, the paper is more detailed, for reference only)
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)
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)
PSO-RBF
- 粒子群优化算法智能优化RBF神经网络~~~~~~~~~~~~~(Intelligent optimization, BP neural network)
pso-elman-3-7-1
- pso优化bp神经网络的权值和阈值,大家可以看看。(PSO optimization BP neural network weights and thresholds, we can see.)
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.)
www.dssz.com_pso-bp
- 基于神经网络的局限性,使用粒子群算法优化其权值,对其进行改进(PSO improved neural network)
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)
PSO优化BP神经网络 MATLAB版本2016a
- PSO优化BP神经网络 MATLAB版本2016a PSO优化BP神经网络的权值和阈值 有详尽的注释 并结合2016a的新版本函数特性,优化了算法(PSO optimization BP neural network MATLAB version 2016a PSO optimization BP neural network weights and thresholds Detailed comments and combined with the 2016a new version of t
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!)
pso优化BP
- 使用pso优化神经网络,使风电功率预测达到更高的精度(a pso algorithm used to optmize bp neural network)
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)