资源列表
elm
- 极限学习机是由黄广斌在2005年作为一种新的单隐层前馈神经网络提出的，具有与神经网络（NN）相同的全局逼近性质，且其参数学习无需迭代，速度明显快于现有的神经网络。目前在岩性识别、LF终点温度软测量、穿孔机导盘转速测量、软测量建模、图像识别等方面有所应用，但将其用于图像分割中的应用还较少。-Extreme learning machine is by Huang guangbin in 2005 as a new single hidden layer feedforward neural net
RBMLIB_DBN
- 利用DBN实现手写数字识别，需要深度学习工具包-Handwritten numeral recognition
meanS3VM
- meanS3VM算法源码，matlab实现，具有极强的参考学习价值，周志华-meanS3VM algorithm source code, matlab realize, with a strong reference value of learning, Zhou Zhihua ~~
11
- 基于弹性BP的数字手写体识别，利用弹性BP神经网络设计的数字手写识别算法。附录文档说明-BP neuralnetwork
GATBX
- 遗传算法工具箱及其应用源码,调试所用Matlab版本是6.5-Genetic algorithm toolbox and its application source code, debugging using Matlab version 6.5
the-dog
- 非洲野狗优化BP算法代码及结果具体算法案例-The African wild dog BP algorithm code and the specific case
fruit-fly-
- (成品)果蝇优化算法优化广义回归神经网络在边坡稳定性预测中的应用(成品)-(Cheng Pin) the application of the optimization of the generalized regression neural network for the optimization of the fruit fly (Cheng Pin) in the prediction of slope stability
fruit-
- （MATLAB）果蝇优化SVR程序具体案例分析-(MATLAB) fruit fly optimization SVR program specific case analysis
multi-objective-
- MATLAB实现遗传算法程序解多目标规划很好用-MATLAB genetic algorithm to solve multi-objective programming is very easy to use
Particle--to-solve-uc
- 针对当前科技水平不足以有效存储电力的情况下产生的发电机机组组合的问题，考虑负荷平衡、输电线传输容量限制等实际情况产生的约束条件，建立机组组合优化模型，以获得最小的生产成本与给定的调度。-In view of the current level of science and technology would not effective storage power generator unit combination problem, considering the load balance, su
GA-BP
- 神经网络遗传算法用于非线性函数的极值寻优matlab代码-Extreme Optimization matlab code of neural network genetic algorithm for nonlinear function
chengxu
- 基于遗传算法的IEEE30节点无功优化程序，针对电网的电压损耗作为目标函数进行了优化，优化的目标是使得网损达到最小值。-IEEE30 node reactive power optimization based on genetic algorithm, in view of the grid voltage loss as objective function is optimized, the goal of optimization is to achieve minimum networ