资源列表
[matlab例程] FIR-differentiate
说明:By building a nonlinear function relationship between an d the error signal,this paper presents a no— vel variable step size LMS(Least Mean Square)adaptive filtering algorithm.-By building a nonlinear function relation<上将> 在 2025-05-05 上传 | 大小:3kb | 下载:0
[人工智能/神经网络/遗传算法] CDAPSO
说明: 一种新的随机优化技术:基于群落动态分配的粒子群优化算法(Community Dynamic Assignation-based Particle Swarm Optimization,CDAPSO)。新算法通过动态改变粒子群体的组织结构和分配特征来维持寻优过程中启发信息的多样性,从而使其全局收搜索能力得到了显著提高,并且能够有效避免早熟收敛问题。-a new stochastic optimization techniques : C<wuyuqian> 在 2025-05-05 上传 | 大小:6kb | 下载:2
[人工智能/神经网络/遗传算法] Smple-GA
说明: 基于TC 2.0编写的遗传算法,该代码简单明了,易于学习!并可以直接使用-prepared by the genetic algorithm, the code simple and easy to learn! And can be used directly! !<wuyuqian> 在 2025-05-05 上传 | 大小:2kb | 下载:0
[人工智能/神经网络/遗传算法] Spider4dataanlysis
说明: ?Spider-matlab工具箱,为一良好的数据分析工具箱,内建核偏最小二乘回归(KPLS),径向基网络回归(RBFnet)等;支持向量机(SVC)分类;聚类分析等.-Spider-Matlab Toolbox for a good data analysis toolbox. Built-nuclear partial least squares (PLS) regression neural network (RBFnet);<wuyuqian> 在 2025-05-05 上传 | 大小:317kb | 下载:1
[matlab例程] kalman-simulation
说明:The purpose of this paper is to provide a practical introduction to the discrete Kalman filter. This introduction includes a descr iption and some discussion of the basic discrete Kalman filter, a derivation, descr i<上将> 在 2025-05-05 上传 | 大小:216kb | 下载:0
[matlab例程] new-lms-arithmetic-simulation-code
说明:In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discrete-data linear filtering problem. Since that time, due in large part to advances in digital computing, the Kalman filter ha<上将> 在 2025-05-05 上传 | 大小:1kb | 下载:0
[matlab例程] kalman-filter-simulation-tools
说明:In 1960, R.E. Kalman published his famous paper describing a recursive solution to the discretedata linear filtering problem [Kalman60]. Since that time, due in large part to advances in digital computing, the Kalm<上将> 在 2025-05-05 上传 | 大小:238kb | 下载:0
[人工智能/神经网络/遗传算法] Random_Forest_fortran
说明: 加洲大学Leo Breiman编写的Random Forests(随机器森林)各个版本的fortran代码 可以实现分类,以及回归!-University of California Leo Breiman prepared by Random Forests (random for forest ) fortran various versions of the code can be achieved classification<wuyuqian> 在 2025-05-05 上传 | 大小:85kb | 下载:0
[人工智能/神经网络/遗传算法] gaussianprocess4Clas
说明: 高斯过程是一种非参数化的学习方法,它可以很自然的用于regression,也可以用于classification。本程序用高斯过程实现分类!-Gaussian process is a non- parametric method of learning, it is very natural for regression. can also be used for classification. The procedures use<wuyuqian> 在 2025-05-05 上传 | 大小:284kb | 下载:0