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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.
Date : 2026-01-19 Size : 3kb User : 上将

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a new stochastic optimization techniques : Community-based dynamic allocation of PSO algorithm (Dynamic Community Assigna tion-based Particle Swarm Optimization, CDAPSO). New Algorithm for dynamic change particle group's
Date : 2026-01-19 Size : 6kb User : wuyuqian

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prepared by the genetic algorithm, the code simple and easy to learn! And can be used directly! !
Date : 2026-01-19 Size : 2kb User : wuyuqian

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Spider-Matlab Toolbox for a good data analysis toolbox. Built-nuclear partial least squares (PLS) regression neural network (RBFnet); Support Vector Machine (SVC) classification; Cluster analysis.
Date : 2026-01-19 Size : 317kb User : wuyuqian

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The purpose of this paper is to provide a pra ctical introduction to the discrete Kalman fil ter. This introduction includes a description and some discussion of the basic discrete Kalma n filter, a derivation. descripti
Date : 2026-01-19 Size : 216kb User : 上将

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c source code is the standard of integrity g.723.1 compressed
Date : 2026-01-19 Size : 6.28mb User : grace

In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discrete-data l inear filtering problem. Since that time, due in large part to advances in digital computi Vi, the Kalman filter ha
Date : 2026-01-19 Size : 1kb User : 上将

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K-nearest neighbor method of Matlab procedures, I found that we all have to find it!
Date : 2026-01-19 Size : 2kb User : wang

In 1960, R. E. Kalman published his famous paper describ ing a recursive solution to the discretedata li near filtering problem [Kalman60]. Since that time, due in large part to advances in digital computi Vi, the Kalman
Date : 2026-01-19 Size : 238kb User : 上将

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University of California Leo Breiman prepared by Random Forests (random for forest ) fortran various versions of the code can be achieved classification and regression!
Date : 2026-01-19 Size : 85kb User : wuyuqian

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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 Gaussian process!
Date : 2026-01-19 Size : 284kb User : wuyuqian

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supervised self-organizing map- Partial Least Squares (A supervised self-org anising map- partial least squares algorithm) , terms of the multi- variable regression analysis of data
Date : 2026-01-19 Size : 144kb User : wuyuqian
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