资源列表
test
- 引入能直接处理连续型数据的邻域粗糙集约简模型，给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法。仿真实验结果表明该算法可以选择较少的特征，改善分类的能力。-employs the neighborhood rough set reduction model which can process the numerical features directly without discretization. Then the particle fitness function in particl
ANNSpeechRecognition
- speech recognition by A-speech recognition by ANN
ga
- 同时考虑了应用的实时性和网络的能源有效性，提出了一种基于GA的嵌套优化技术，并在多跳聚簇网络中进行能源高效的任务分配-Taking into account the energy efficiency of real-time application and network optimization technique based on GA nested, and energy efficient task allocation in multi-hop clustered network
pso
- 引入了动态联盟思想，构造了无线传感器网络任务分配的动态联盟模型及其相应的求解算法，并引入多Agent思想，提出了一种带多Agent的无线传感器网络自适应任务调度策略-Union, the introduction of dynamic thinking, a dynamic alliance of wireless sensor network task allocation model and its corresponding solution algorithm, and the intr
QuickSortOrderReduct
- 引入能直接处理连续型数据的邻域粗糙集约简模型，给出一种基于邻域粗糙集模型和粒子群优化的特征选择算法-Introduce neighborhood rough set reduction model can deal directly with continuous data, given the feature selection algorithm based on neighborhood rough set model and particle swarm optimization
Intelligent-layout
- 智能排样问题主要是利用遗传算法解决排样问题，以达到最优分配-Intelligent layout problem is the use of genetic algorithms to solve nesting problem, so as to achieve the optimal allocation
matlab
- 本文章是遗传算法求函数极值的matlab代码-Genetic algorithms matlab code for the function extremum
ga
- 遗传算法的matlab源代码，包含了从基本遗传算法到，自适应，多种交叉方式等遗传算法的源代码-Genetic algorithm of matlab source code, including from the basic genetic algorithm to, adaptive, a variety of crossover modes and genetic algorithm of source code
BP
- 一个关于人工神经网络控制实时仿真系统研究的文章-The Real Time Emulation Systemof Artificial Neural Networks Control
GA
- 遗传算法 遗传算法 遗传算法 遗传算法 -Genetic algorithm Genetic algorithm Genetic algorithm Genetic algorithm Genetic algorithm Genetic algorithm
MainProgram
- vc版蚁群算法 vc版蚁群算法 vc版蚁群算法-Vc version of ant colony algorithm
trilearn_base_sources-3.3
- The use of BP neural network to achieve c++ Algorithm, with detailed examples and results of analysis, as well as the effect of graph algorithms