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机器学习及人工智能中的多层感机的算法，可识别复杂的二维点阵图形，在实际的模式识别中很有参考价值。-Machine study for arithmetic multi-layer perceptron, it can recognize 2D dot matric graph, it is a good reference for pattern recognition
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annie is an ANN, ie, Artificial Neural Network library developed in C++. It can be used to implement various kinds of neural networks like Multi-Layer Perceptron, Radial basis function networks, Hopfield networks etc.-ANN, ie, Artificial Neural Netwo
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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) / 2
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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。
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这是多层隐含神经网络程序
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利用BP算法，设计一个多层感知器为表中的数据集提供一个非线性逼近，并测试其泛化能力-The use of BP algorithm, the design of a multi-layer perceptron for the table of data sets to provide a non-linear approximation, and testing their generalization ability
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多层感知器的分类程序! -Multi-layer perceptron classification procedures!
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MLP graph input-output mapping with inputs x and outputs y generated by the following nonlinear,
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Bayesian Multi Layer Perceptron Neural Network
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multi layer perceptron il suffit juste de fair entrer l enter et sortie désiré
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Multi layer perceptron regression plot.
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multi-layer perceptron XOR algorithm
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是BP神经网络程序：BP神经网络模型是一个多层感知机构，是由输入层、中间层（隐层）和输出层构成的前馈网络，只含有一个中间层的BP神经网络模型。-BP neural network program：BP neural network model is a multi-layer perceptron institutions, is the input layer, middle layer (hidden layer) and output layer feedforward network,
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This paper investigates a new face recognition system based on an efficient design of classifier using SIFT (Scale
Invariant Feature Transform) feature keypoint. This proposed system takes the advantage of SIFT feature which possess strong
robust
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使用matlab不依靠库函数编写的BP网络，多层感知器，以及利用BP网络做的函数逼近。-Use matlab not rely on library functions of BP network to write, multi-layer perceptron, and the use of BP network do function approximation.
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multi layer perceptron - MLP sample
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matlab source code for Multi-layer Perceptron
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XOR_Example % The matrix implementation of the Backpropagation algorithm for two-layer
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感知神经网络学习，多层感知器完成异或功能实现代码，供交流学习使用-Perceptual learning of neural network, multi-layer perceptron perform the XOR function implementation code used by the exchange of learning
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