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Description: 用连续性HNN做两张图像变化检测，运动目标的识别(Change detection difference images energy minization)
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Size: 2048 |
Author: 小豆徵
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Description: Hopfield Model 神经网络仿真程序,C语言源代码()
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Size: 4096 |
Author: gujxtiotenlg
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Description: solve tsp problem using hopfield
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Size: 87040 |
Author: ZeinabGMZ |
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Description: 用声卡进行数据采集，产生一正弦波，计算机通过扬声器把此正弦波用声音的形式发出；用话筒，把声音采集，然后比较这两种信号(Using sound card to collect data and produce a sine wave, the computer sends out the sine wave in the form of sound by means of loudspeaker, and uses microphone to collect the sound, then compares the two signals to get the final result.)
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Size: 451584 |
Author: zidonghua |
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Description: Forward Hopfield Neural Network
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Size: 30720 |
Author: Azizur |
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Description: 基于遗传算法的TSP问题，连续HOPfield网络优化(TSP problem based on genetic algorithm and optimization of continuous HOPfield network)
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Size: 1024 |
Author: xhkai |
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Description: 这个代码可以有效地解决旅行商问题的组合优化问题(This code can effectively solve the combinatorial optimization problem of traveling salesman problem.)
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Size: 4096 |
Author: 吴保林 |
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Description: 本书共有43章，内容涵盖常见的神经网络（BP、RBF、SOM、Hopfield、Elman、LVQ、Kohonen、GRNN、NARX等）以及相关智能算法（SVM、决策树、随机森林、极限学习机等）。同时，部分章节也涉及了常见的优化算法（遗传算法、蚁群算法等）与神经网络的结合问题。此外，本书还介绍了MATLAB R2012b中神经网络工具箱的新增功能与特性，如神经网络并行计算、定制神经网络、神经网络高效编程等(This book consists of 43 chapters, covering common neural networks (BP, RBF, SOM, Hopfield, Elman, LVQ, Kohonen, GRNN, NARX, etc.) and related intelligent algorithms (SVM, decision tree, random forest, extreme learning machine, etc.). At the same time, some chapters also involve the combination of common optimization algorithms (genetic algorithm, ant colony algorithm, etc.) and neural networks. In addition, the book also introduces the new functions and characteristics of the neural network toolbox in MATLAB R2012b, such as parallel computing of neural networks, customized neural networks, efficient programming of neural networks, etc)
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Size: 54128640 |
Author: caravan |
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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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Description: The example applies it to digital recognition, and it can be seen that it still has a certain ability to discriminate against noise
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Size: 723 |
Author: greatoldones6@gmail.com |
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