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一个基于遗传算法和MLP的例子 Generic Algorithm-one based on genetic algorithms and MLP example Generic Algorithm
Date : 2025-07-01 Size : 5kb User : zy

多层感知器(MLP)(BP算法训练)、径向基函数网络(RBF网络)、支持向量机(SVM)对2D Mexican Hat、Gabor、Friedman 以及Polynomial等几种函数数据集进行回归和预测-multilayer perceptron (MLP) (BP algorithm training), RBF network (RBF), Support Vector Machine (SVM) to 2D Mexican Hat, Gabor, Friedman Polynomial and several other data sets function regression and forecasting
Date : 2025-07-01 Size : 1.42mb User : 张毅

To estimate the input-output mapping with inputs x % and outputs y generated by the following nonlinear, % nonstationary state space model: % x(t+1) = 0.5x(t) + [25x(t)]/[(1+x(t))^(2)] % + 8cos(1.2t) + process noise % y(t) = x(t)^(2) / 20 + 6 squareWave(0.05(t-1)) + 3 % + time varying measurement noise % using a multi-layer perceptron (MLP) and both the EKF and % the hybrid importance-samping resampling (SIR) algorithm. -To estimate the input-output mapping with inputs x and outputs y generated by the following nonlinear, nonstationary state space model: x (t+ 1) = 0.5x (t)+ [25x (t )]/[( 1+ x (t)) ^ (2)]+ 8cos (1.2t)+ process noise y (t) = x (t) ^ (2)/20+ 6 squareWave (0.05 (t-1 ))+ 3+ time varying measurement noise using a multi-layer perceptron (MLP) and both the EKF and the hybrid importance-samping resampling (SIR) algorithm.
Date : 2025-07-01 Size : 40kb User : Lin

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for MLP neural network.
Date : 2025-07-01 Size : 4kb User : rose

作者采用具有高度非线性识别能力的人工神经网络与遗传算法相结合的方法,探讨了建立智能预报模型的基本方法,进一步对如何提高预报精度的问题进行了研究,并结合黄河洪水预报实例检验了神经网络模型的可行性。-The author used to identify the capacity of highly non-linear artificial neural network combining with genetic algorithm approach to explore the establishment of intelligent prediction model of the basic ways to further improve the forecast accuracy of how the issues of research and examples of combination of the Yellow River flood forecasting tests the feasibility of neural network model.
Date : 2025-07-01 Size : 99kb User : Eason.Yuan

A MLP code with backpropagation training algorithm designed for classification problems.
Date : 2025-07-01 Size : 1kb User : Paulo

A MLP code with backpropagation training algorithm designed for aproximation of functions problems.
Date : 2025-07-01 Size : 1kb User : Paulo

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用matlab编程实现多层感知器带动量项的批处理BP算法 -Programming using matlab MLP driven batch BP algorithm the amount of items
Date : 2025-07-01 Size : 1kb User : 山水

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用matlab实现神经网络多层感知器单样本训练BP算法。-Neural network using matlab to achieve a single sample training MLP BP algorithm.
Date : 2025-07-01 Size : 1kb User : 山水

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MLP NN algorithm in matlab
Date : 2025-07-01 Size : 1kb User : haniy
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