[matlab例程] algorithms-LMS-adaptive-filtering

说明：adaptive filter and its M atlab simulation based on LM S algorithm.-adaptive filter and its simulation M atlab S based on LM algorithm.
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[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 relationship between an d the error si
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[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! !
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[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 iption and some discussion of t
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[压缩解压] g.723.1

说明：c源代码标准是 g.723.1的 完整的压缩包-c source code is the standard of integrity g.723.1 compressed
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[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 has been the subject of extensiv
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[matlab例程] knn_demo

说明：K近邻法的matlab程序，发现大家都在找它！-K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
<wang> 在 2026-01-12 上传 | 大小：2kb | 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 Kalman filter has been the subje
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[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 and regression!
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[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 used to achieve classification Ga
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[数学计算/工程计算] MAOA_PLS_SV

说明： 介绍了一结合偏最小二乘的改进蚁群算法,可以用于数据变量的压缩!具有参数少容易实现等优点!-on a combination of improved PLS ant algorithm, Variables can be used for data compression! with fewer parameters to achieve the advantages of easy!
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[人工智能/神经网络/遗传算法] RandomForestCversion

说明： 组合学习算法的新方法--随机森林(Random Forest,RF),用于处理高维问题,可以得到满意的效果!-composition of the new learning algorithm methods-- random forests (Random Forest, RF) for the treatment of high-dimensional problem, it can be satisfied with the results!
<wuyuqian> 在 2026-01-12 上传 | 大小：2.33mb | 下载：0