资源列表
Lyapunov-Analysis
- Lyapunov Analysis of Neural Network Stability in an Adaptive Flight
art1
- ART1 neural network on ruby
appcr1
- bp算法的一部分功能 仅供参考 自己学习还是-bp algorithm
gaojiepu-
- 高阶谱算法基有效处理信息。基于矩阵实验室平台的实现，值得下载。-Higher-Order Spectral Analysis Toolbox For Use with MATLAB? User抯 Guide Version 2 Ananthram Swami Jerry M. Mendel Chrysostomos L. (Max) Nikias
pso-rbf
- 本文描述了粒子群算法与rbf神经网络相结合的应用，描述新颖，是一片不错的论文。-This paper describes the combination of the application of particle swarm optimization and rbf neural network, describe the novel, is a good paper.
lizixitong
- 描述了采用粒子系统构建烟花模拟系统的过程，本文的实现比较详细。-Describes a particle system to build fireworks simulation system, the realization of this paper is more detailed.
KP
- 引入能够处理混合型数据的K-prototypes聚类算法，在此基础上构造了一种基于粒子群优化算法和K-prototypes方法的混合聚类算法-this paper employs the K-prototypes clustering algorithm to deal with mixed valued data, and designs a hybrid clustering algorithm based on particle swarm optimization algorithm a
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