The proposed neural network model is multilayer perceptron type with one hidden layer and one output layer Based on the mathematical explanations and the Adaptive filter theory we have proposed least mean square (LMS) algorithm for short term wind speed forecasting. We can make changes in the ...
weighted least mean squaresA new error function based on weighted least-mean-square analysis is suggested for use in a back-propagation algorithm in neural networks. The standard back-propagation algorithm has been revised to minimize the sum of the weighted residual error squared. This method has...
[判断题](1分)Intermsofalgorithm,ADALINEneuralnetworkadoptsW-Hlearningrule,alsoknownastheleastmeansquare(LMS)algorithm.Itisdevelopedfromtheperceptronalgorithm,anditsconvergencespeedandaccuracyhavebeengreatlyimproved.()A.对B.,本题来源于在线网课《人工神经网
Kernel least mean square is a simple and effective adaptive algorithm, but dragged by its unlimited growing network size. Many schemes have been proposed to reduce the network size, but few takes the distribution of the input data into account. Input data distribution is generally important in vi...
monte-carlo-simulation equalizer equalization recursive-least-squares adaptive-equalizers adaptive-equalization least-mean-squares Updated Apr 19, 2021 MATLAB intelligent-control-lab / AGen Star 15 Code Issues Pull requests Adaptable generative prediction using recursive least square algorithm prediction...
The Least Mean Square (LMS) error algorithm is an example of supervised training, in which the learning rule is provided with a set of examples of desired network behavior: {p1, t1}, {p2, t2}, …, {pi, ti}. Here, pi is an input to the network, and ti is the corresponding target...
Mean-square performance of the modified frequency-domain block LMS algorithm The mean weight vector of the normalized frequency-domain block least-mean-square (NFBLMS) algorithm cannot converge to the optimal solution in the mean-sq... F Yang,J Yang - 《Signal Processing》 被引量: 0发表: 201...
SUMMARYThe paper analyzes the transient and steady-state performances of a least mean square algorithm in the rarely-studied situation of a time-varying in... E Eweda - 《International Journal of Adaptive Control & Signal Processing》 被引量: 10发表: 2012年 Performance analysis of the smoothed...
In this paper, an online self-organizing fuzzy modified least-square (SOFMLS) network is proposed. The algorithm has the ability to reorganize the model and adapt itself to a changing environment where both the structure and learning parameters are performed simultaneously. The network generates a ...
摘要: In the beginning, Gauss created Least Squares, and he saw that it was good. So he said unto his algorithm," be fruitful, and multiply." And it was so. Least Squares begat the Least Mean Squares (LMS), whose years were plenty. And Least Mean Squares begat...