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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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Bayesian Multi Layer Perceptron Neural Network
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一个神经网络计算的库，实现几个通用神经网络体系和训练方法，自识别图，弹性网络等.like Back Propagation, Kohonen Self-Organizing Map, Elastic Network, Delta Rule Learning, and Perceptron Learning.-In this article, a C# library for neural network computations is described. The library impleme
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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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基于scala实现的BP多层神经网络源程序，带有测试用例-n implementation in Scala written by Yann Nicolas
This Scala implementation of a neural network, allows the execution and the training of a multi-layer perceptron.
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Multi layer perceptron(MLP) Neural Network scr ipt for matlab.
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An important aspect of an ANN model is whether it needs
guidance in learning or not. Based on the way they learn, all
artificial neural networks can be divided into two learning
categories - supervised and unsupervised.
• In supervised l
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深度学习的概念源于人工神经网络的研究。含多隐层的多层感知器就是一种深度学习结构。深度学习通过组合低层特征形成更加抽象的高层表示属性类别或特征，以发现数据的分布式特征表示。[1]
深度学习的概念由Hinton等人于2006年提出。基于深信度网(DBN)提出非监督贪心逐层训练算法，为解决深层结构相关的优化难题带来希望，随后提出多层自动编码器深层结构。此外Lecun等人提出的卷积神经网络是第一个真正多层结构学习算法，它利用空间相对关系减少参数数目以提高训练性能。[1]
深度学习是机器
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Deep Mixture density network for voice conversion.
Single layer Multi Layer Perceptron Neural Network with desired number of mixure components.
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the combination of artificial neural network (ANN) and ant colony optimization (ACO) algorithm has been utilized for modeling and reducing NOx and soot emissions a direct injection diesel engine. A feed-forward multi-layer perceptron (MLP) network is
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sample code for simulating a neural network with multi-layer perceptron algorithm
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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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method based on Neural
Network (NN) technique and accompanied with MMSE
(Minimum Mean Square Error), which corrects at the receiver
level, the Non-Linear (NL) distortions due to the HPA (High
Power Amplifier).-In this paper, we present a meth
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（神经网络）多个隐含层的多层感知器网络训练数据得到网络，并使用测试数据统计所设计多层感知器的平均识别正确率-Multi layer perceptron network training data with multiple hidden layers is obtained, and the average recognition accuracy of the multi-layer perceptron is designed by using the test data statisti
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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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MLP multilayer neural network
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