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Single-layer neural networks can be trained using various learning algorithms. The best-known algorithms are the Adaline, Perceptron and Backpropagation algorithms for supervised learning. The first two are specific to single-layer neural networks wh
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基于SVM的分类器，它像多沉感知器一样，可以用于模式分类和多层回归！-Based on SVM classifier, it more like heavy perceptron as, can used for pattern classification and multi-layer return!
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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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sample code for simulating a neural network with multi-layer perceptron algorithm
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detection cancer with matlab software,I use Multi Layer Perceptron(MLP) to detection.
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作者提出了一种新型的神经网络结构，性能比常用结构高很多-Approximate computing emerges as a promising
technique for high energy efficiency. Multi-layer perceptron
(MLP) models can be used to approximate many modern applications,
with little quality loss.
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in this file we implement the multi layer perceptron whit matlab
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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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Multi Layer Perceptron for binary classification using Python.
Also showing hoe to do K-Folding in python.
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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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