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Description: 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
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Size: 5279 |
Author: zy |
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Description: 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
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Size: 1483984 |
Author: 张毅 |
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Description: 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.
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Size: 40960 |
Author: Lin |
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Description: 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
Platform: |
Size: 5120 |
Author: zy |
Hits:
Description: 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
Platform: |
Size: 1483776 |
Author: 张毅 |
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Description: 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.
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Size: 40960 |
Author: Lin |
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Description: 本程序实做MLP(Multi-layer perceptron)算法，使用者可以自行设定训练数据集与测试数据集，将训练数据集加载，在2、3维下可以显示其分布状态，并分别设定键节值、学习率、迭代次数来训练其类神经网络，最后可观看辨识率与RMSE（Root Mean squared error）来判别训练是否可以停止。-This procedure is to do MLP (Multi-layer perceptron) algorithm, the user can set their own training data set and test data sets, the training data set is loaded, in the 2,3-dimensional display of their distribution, and were set key section of the value of learning rate, number of iterations to train the neural network can watch the final recognition rate and the RMSE (Root Mean squared error) to determine whether the training can stop.
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Size: 1213440 |
Author: 楊易 |
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Description: for MLP neural network.
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Size: 4096 |
Author: rose |
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Description: 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.
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Size: 101376 |
Author: Eason.Yuan |
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Description: A MLP code with backpropagation training algorithm designed for classification problems.
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Size: 1024 |
Author: Paulo |
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Description: A MLP code with backpropagation training algorithm designed for aproximation of functions problems.
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Size: 1024 |
Author: Paulo |
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Description: 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
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Size: 1024 |
Author: 山水 |
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Description: 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.
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Size: 1024 |
Author: 山水 |
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Description: 多层前馈神经网络学习算法训练与测试才c＋＋代码-Multilayer feedforward neural network learning algorithm training and testing before c++ code
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Size: 3072 |
Author: 堆雪 |
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Description: calssification algorithm
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Size: 395264 |
Author: m |
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Description: MLP Uing Genetic Algorithm.
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Size: 5120 |
Author: am |
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Description: 异步MLP算法 多层感知机 神经网络训练-asynchronous mlp algorithm
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Size: 7168 |
Author: chenzhenhong |
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Description: 生物地理算法优化多层感知网络进行特征分类和识别，精度高达97 -Bio geographic algorithm to optimize multi layer perceptron network for feature classification and recognition, the accuracy of up to 97
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Size: 232448 |
Author: antry |
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Description: 一个基于遗传算法和MLP的例子 Generic Algorithm 不错的源码(An example based on genetic Algorithm and MLP Generic Algorithm source code)
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Size: 4096 |
Author: nonmmf
|
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Description: MLP NN algorithm in matlab
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Size: 1024 |
Author: haniy
|
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