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Description: using delta rule neural network
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Size: 39936 |
Author: 司迪 |
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Description: 神经网络练习,使用DELTA LEARNING RULE对二维的1000个点进行分类,并且计算其准确度-There are four class centered at (3, 3), (3, − 3), (− 3, − 3), (− 3, 3). The data points are 2-dimensional independent Gaussian with the variance of 1.5. Simulate 250 points for each class. 10 points from each class are used as training samples.
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Size: 1024 |
Author: danny |
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Description: 分别采用4种控制律进行单神经元PID控制,即无监督的Hebb学习规则、有监督的Delta学习规则、有监督的Hebb学习规则、改进的Hebb学习规则.-Separately using four kinds of control laws for single neuron PID control, that is, unsupervised Hebb learning rules, there is the Delta Study supervision rules, there is supervised Hebb learning rule to improve the Hebb learning rule.
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Size: 1024 |
Author: 王永超 |
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Description: perceptron delta rule
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Size: 2048 |
Author: HDC |
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Description: BP neural network implementation with generalized delta learning rule and momentum-BP neural network in Matlab
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Size: 1024 |
Author: lin |
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Description: 神经网络感知器学习规则：Delta学习规则。采用Delta学习规则，进行权值调整，阈值变换函数采用双极性连续函数。程序简单易懂，希望对大家有所帮助！-Neural network perceptron learning rule: Delta learning rule. Delta learning rule used to carry out the right to adjust the value of the threshold bipolar transfer function using a continuous function. Procedures are simple and easy to understand, want to help you!
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Size: 62464 |
Author: 李洋 |
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Description: A simple, illustrative implementation of a single-layered perceptron in Java. When a pattern is impressed on the perceptron the
activation of the network is adjusted according to an activation formula and a given bias value. To adjust the way the perceptron
reacts to a given input, a learning algorithm (the delta rule) is implemented to adjust the weights connecting the neurons of the
perceptron, which are initially set to 0. This rule keeps adjusting the weights until the resulting output for a given input
corresponds to a supplied correct output, resulting in a perceptron trained to react to a certain perception in a certain way.
The input patterns and the teaching output are hard coded as integer matrices.-A simple, illustrative implementation of a single-layered perceptron in Java. When a pattern is impressed on the perceptron the
activation of the network is adjusted according to an activation formula and a given bias value. To adjust the way the perceptron
reacts to a given input, a learning algorithm (the delta rule) is implemented to adjust the weights connecting the neurons of the
perceptron, which are initially set to 0. This rule keeps adjusting the weights until the resulting output for a given input
corresponds to a supplied correct output, resulting in a perceptron trained to react to a certain perception in a certain way.
The input patterns and the teaching output are hard coded as integer matrices.
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Size: 2048 |
Author: Felippe |
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Description: 梯度下降法则搜索空间拟核代码。由python 编写。-a program of delta-rule.
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Size: 1024 |
Author: lujiasen |
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Description: 采用四种埪制律进行单神经元PID控制，即无监督的Hebb学习规则；有监督的Delta学习规则；有监督的Hebb学习规则；改进的Hebb学习规则。-Kong legal system of four single-neuron PID control, the Hebb learning rule is unsupervised a supervised learning rule Delta a supervised Hebb learning rule modified Hebb learning rule.
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Size: 1024 |
Author: 王越 |
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Description: 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 implements several popular neural network architectures and their training algorithms, like Back Propagation, Kohonen Self-Organizing Map, Elastic Network, Delta Rule Learning, and Perceptron Learning. The usage of the library is demonstrated on several samples:
• Classification (one-layer neural network trained with perceptron learning algorithms)
• Approximation (multi-layer neural network trained with back propagation learning algorithm)
• Time Series Prediction (multi-layer neural network trained with back propagation learning algorithm)
• Color Clusterization (Kohonen Self-Organizing Map)
• Traveling Salesman Problem (Elastic Network).
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Size: 242688 |
Author: calford |
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Description: MATLAB code that implements the generalized delta rule
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Size: 1024 |
Author: sara |
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Description: Delta Rule Matlab code
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Size: 2048 |
Author: sajad |
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Description: This the Delta rule for Artificial Neural Network for A-This is the Delta rule for Artificial Neural Network for ANN
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Size: 1024 |
Author: ADK |
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Description: input full adder and by using delta rule algorithm
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Size: 20480 |
Author: luna_
|
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Description: To implement the NEURAL NETWORK ALGORITHMS using matlab.it contains
HEBB-DELTA LEARNING RULE
LINEAR SEPERABILITY OF INPUT DOMAIN
PATTERN RECOGNITION
HOPFIELD NETWORK
BACK PROPAGATION
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Size: 3895 |
Author: karanmanohar98@gmail.com |
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