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基于误差反传的多层感知器——BP神经网络的数字图像所程序matlab实现-Based on the error back propagation Multilayer Perceptron- BP neural network matlab program to achieve the digital image
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A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs.
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请用多层感知器（MLP）神经网络误差反向传播（BP）算法实现异或问题（输入为，要求可以判别输出为0或1），并画出学习曲线。其中，非线性函数采用S型Logistic函数。-Please use the Multilayer Perceptron (MLP) back propagation neural network (BP) algorithm XOR problem (input is required to determine the output is 0 or 1), and draw
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感知器，主要有单层和多层感知器的应用的仿真程序设计-Perceptron, there are single and Multilayer Perceptron application simulation program design
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A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs.
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Code implementation of a Multilayer Perceptron that learns the logical XOR function (for 2 and 4 inputs).
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A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. A MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the next
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The matrix implementation of the two-layer Multilayer Perceptron (MLP) neural networks
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EEG signals classification using the K-means clustering and a multilayer perceptron neural network model
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Neural network XOR with a multilayer perceptron
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Multilayer Perceptron for Tanker Ship Heading Regulation
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Multilayer Perceptron Model
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A multilayer perceptron (MLP) is a feedforward artificial neural network model that maps sets of input data onto a set of appropriate outputs. An MLP consists of multiple layers of nodes in a directed graph, with each layer fully connected to the nex
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Batch least squares for training a multilayer perceptron.
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Recursive least squares for training a multilayer perceptron
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Multilayer Perceptron (MLP) Neural Network Function using MATLAB:
An implementation for Multilayer Perceptron Feed Forward Fully
Connected Neural Network with a sigmoid activation function.- Multilayer Perceptron (MLP) Neural Network Functio
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滤波器处理的经典之作，全面介绍了各种线性自适应滤波器和基于多层感知器的非线性自适应滤波器的基本原理和方法。-The classic filter processing, this paper introduces the various linear adaptive filter and nonlinear adaptive filter based on multilayer perceptron s basic principle and method.
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在MATLAB中利用BP算法训练多层感知器-Trained by BP algorithm in MATLAB Multilayer Perceptron
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this multilayer perceptron neural network-this is multilayer perceptron neural network
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Measuring the blood urea nitrogen concentration
is crucial to uate dialysis dose (Kt/V) in patients
with renal failure. Although frequent measurement is needed
to avoid inadequate dialysis efficiency, artificial intelligence
can repeatedly pe
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