资源列表
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.
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
optimal_PVandSVC
- 含分布式发电的配电网有功-无功综合优化，分布式电源包含风机光伏和无功补偿装置-Active/reactive power integrated optimization in distribution networks with distributed generation
optimal_PV-WTand--SVC
- 含分布式电源的配电网日前两阶段优化调度模型，EI论文源程序，放心使用-A Day-Ahead Two-Stage Optimal Scheduling Model for Distribution Network Containing Distributed Generations
OpenCode_luzhenbo
- [原创]混沌分析,聚类分析,支持向量机,群体智能优化,深度学习(卷积神经网络)Matlab工具箱全开源版本下载 作者: 陆振波 毕业院校：海军工程大学，船舶与海洋工程(水声工程)，博士 精通方向：信号处理，图像处理，人工智能，模式识别，支持向量机，深度学习，机器学习，机器视觉，群体智能，非线性与混沌，Matlab与VC++混编，大数据 擅长技能：团队激励，战略规划，企业文化，组织架构，C，C++，Matlab，OpenCV，并行计算，图像处理，智能视觉，卷积神经网络，人脸检测，行
pso-microgrid
- 微电网配置,风机，储能，发电机容量的配置和优化-Micro-grid configuration, fan, energy storage, generator capacity configuration and optimization
基于粒子群优化的无线MESH网信道分配算法
- 基于粒子群优化的无线MESH网信道分配算法通用MATLAB函数(General MATLAB function of wireless MESH network channel allocation algorithm based on particle swarm optimization)
新安江模型 __ vb程序
- 水文模型新安江模型代码新安江模型vb代码(Hydrological model VB code, welcome to download.)
神经网络与深度学习
- 介绍神经网络和深度学习，还有部分代码讲解(Introduction to neural networks and depth learning, there are some code to explain)
cnn
- matlab包，卷积神经网络函数，用于数据预测，分类以及识别(Convolution neural network functions for data prediction, classification and identification)
三维
- 多智能体在三维环境下的编队飞行控制。利用的是一致性理论。值得学习(The formation flight control of a multi-agent in a three-dimensional environment. The theory of consistency is used. Worth learning)
RNN
- 利用MATLAB实现循环神经网络的例子，便于大家更好的理解循环神经网络RNN的原理。(The example of recurrent neural network is implemented by MATLAB, so that you can have a better understanding of the principle of recurrent neural network RNN.)