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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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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 tutorial
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Multi layer perceptron(MLP) Neural Network scr ipt for matlab.
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MULTI LAYER PERCEPTRON FOR MATLAB
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Support Vector Machines Training and
Applications-The Support Vector Machine SVM is a new and very promising classication technique developed by Vapnik and
his group at ATT Bell Laboratories
This new learning algorithm can
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Pitch angle control in wind turbines above the rated wind speed by multi-layer perceptron and radial basis function neural networks
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Multi Layer Perceptron implementation
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Classification of vibration signals using Multi-layer perceptron MLP
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MLP Multi-Layer Perceptron
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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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Multi-layer perceptron (MLP) can be used to solve real-world pattern recognition
problems. In this assignment, the following tasks are involved: applying the MLP to
a two-class problem: glass wearing recognition based on face images. You may
do
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multi layer perceptron matlab
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mlp :Multi Layer Perceptron
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MAtlab identification system using multi layer perceptron
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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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