搜索资源列表
psoRBFS110
- 用pso算法优化RBF神经网络，从而对微带线的S11参数进行建模-RBF neural networks were optimized by pso algorithm, thus model for S11 parameters of the microstrip line
Gravitational-Search-algorithmPBP
- 基于万有引力算法，利用matlab平台实现神经网络回归模型的参数优化-The parameters optimization of neural network regression model based on the universal gravitation algorithm, using MATLAB platform
PSO-BP
- 利用PSO算法优化BP神经网络，得到适应度函数曲线图-PSO to optimize the BP neural network
pso
- PSO的Matlab代码,可用于神经网络初始权值的优化-matlab code of PSO
GA_RBF
- 利用遗传算法对RBF（径向基）神经网络的中心值和宽度进行优化。实现效果比较好，能够高精度的实现非线性逼近。-Using genetic algorithm to optimize the center value and width of RBF (radial basis) neural network. The realization effect is better, and the nonlinear approximation can be achieved with high acc
PSO-BP
- 用粒子群优化法对BP神经网络的权值和阈值进行优化，提高神经网络运行精度。-Using particle swarm optimization method for weights and threshold of BP neural network optimization, improve precision of the neural network operation.
cs-bp
- 用布谷鸟优化法对BP神经网络的权值和阈值进行优化，提高神经网络运行精度。-Cuckoo optimization method of BP neural network weights and threshold optimization, improve precision of the neural network operation.
GA-BP
- 遗传算法优化BP神经网络程序，利用遗传算法找出最优的权值和阈值赋予BP神经网络并开始训练。-Genetic algorithm optimization BP neural network program, the use of genetic algorithm to find the optimal weights and thresholds given BP neural network and start training.
genetic_BP
- 此代码是用遗传算法来优化BP神经网络的代码。-This code is to use genetic algorithm to optimize the BP neural network code
DeepLearning-master
- 深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。[1] 深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法，为解决深层结构相关的优化难题带来希望，随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法，它利用空间相对关系减少参数数目以提高训练性能。[1] 深度学习是机器
CS
- 此程序为，布谷鸟搜索算法优化小波神经网络，适合初学者，看一下就明白。-This program is, cuckoo search algorithm optimization neural network, suitable for beginners, look at it to understand.
PSOWAVELET
- 利用粒子群算法对小波神经网络进行优化，从而提高其故障诊断的准确性。-Using particle swarm algorithm of wavelet neural network is optimized, so as to improve the accuracy of the fault diagnosis.
AC-bp
- 遗传算法优化bp神经网络,这是一个很好的优化算例。-Genetic algorithm optimization bp neural networks, which is a good optimization studies.
69
- 含有DG配电网重构，基于小波神经网络优化电网损耗并且考虑了电压降落和电压偏移多目标-DG containing distribution network reconfiguration, optimize network losses wavelet neural network and considering the voltage drop and voltage offset multi-target
nns-ga-optimalize
- 综合神经网络和遗传算法，可以用于参数优化等-Integrated neural networks and genetic algorithms can be used for parameter optimization
yichuansuanfa
- 遗传算法优化BP神经网络、改进的模糊C-均值聚类、遗传算法（粒子群算法、人工鱼群算法等）的投影寻踪模型等遗传算法的简单集合。-Genetic algorithm to optimize the BP neural network, an improved fuzzy C- average clustering and genetic algorithm,(particle swarm optimization (pso), artificial fish algorithm, etc.) of
DeepLearnToolbox_CNN_lzbV2.0
- DeepLearnToolbox_CNN_lzbV2.0 深度学习,卷积神经网络,Matlab工具箱 参考文献: [1] Notes on Convolutional Neural Networks. Jake Bouvrie. 2006 [2] Gradient-Based Learning Applied to Document Recognition. Yann LeCun. 1998 [3] https://github.com/rasmusberg
PSOt
- pso工具箱，可用于单个变量的优化，用于神经网络优化。-Pso toolkit that can be used in a single variable optimization
BP_inertia-terms
- BP神经网络，使用惯性项进行收敛速度优化。-BP neural network, with the inertia term that optimize convergence rate.
SA_Neural
- BP神经网络，使用模拟退火（simulated annealing）进行优化。c#环境开发。-BP neural network,with simulated annealing function that optimize the convergence rate.