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人工神经网络 0-9数字识别
建立一个多层Perceptron网络，采用BP学习算法训练，得到适当的分类器-Artificial neural network digit recognition
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Bidirectional Associative Memory Heteroassociative Memory 人工智能人工神经网络源码;-Bidirectional Associative Memory Heteroassociative Memory artificial intelligence artificial neural network source
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用PSO算法优化神经网络，全面，并且有数据，这是我的毕业设计，得到了老师的认可，希望得到大家的认可。-PSO algorithm used to optimize neural network, comprehensive, and there is data, this is my graduation project, approved by the teachers hope that it will be recognized by everyone.
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this MLP project in Neural Network that have userinterface. run GUI.m to execute project -this is MLP project in Neural Network that have userinterface. run GUI.m to execute project
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Project with GUI for door and other rectangular objects. Uses hough transform and neural-network based recognition. (MATLAB r2007b)
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针对实际项目采用了webservice进行搭建分布应用及多线程进行分布式并行开发应用。本项目主要针对图象学的图象处理对已存在的图象进行数字识别，本项目还利用BP神经网络（人工智能）技术进行识别应用，本项目采用OCR、体征、BP三种识别方法进行有效识别，识别效率达到98 -100 ，运行效率95ms/56ms/0.9ms。-Webservice used for the actual project to build distributed applications and multi-threa
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JOONE(Java Object Oriented Neural Network)是sourceforge.net上一个用java语言迅速开发神经网络的开源项目,灵活的运用joone，可以迅速的开发各种神经网络。-JOONE (Java Object Oriented Neural Network) is a sourceforge.net with java language on a neural network to rapidly develop open-source project
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MLP project in Neural Network that have userinterface
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MLP project in Neural Network that have userinterface
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this is a backpropagation neural network training and testing design for two types of islamic caligraphy pattern recognition as a school project
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Neural Network OCR.
There are many different approaches to optical character recognition problem. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time
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This brief report describes the Applied Meteorology Unit’s development and
actuation of an artificial neural network for predicting cloud cover at the Shuttle
nding Facility (SLF). This first section describes the motivation for the project and
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本文在了解神经元和BP算法的基础上，使用MATLAB软件作为开发工具建立BP神经网络模型，重点研究了BP神经网络结构设计的原理和方法，包括影响BP神经网络训练能力的因素，以及这些因素如何影响BP神经网络的性能；改变不同参量，对比实验数据，总结各个参量对BP神经网络的影响。从而寻找最佳的BP神经网络模型。本文还对一些其他的神经网络算法进行了总结和介绍。- In this paper , based on understanding of the neuronal model and learni
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it s a fake project of neural network!
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本程序为神经网络学习中的第一个项目程序，主要瞎用神经网络的算法进行目标学习和识别，并应用加噪和去噪算法进行比较-This program is the first item in the neural network learning process, the major blind with neural network algorithm for target learning and recognition, and application plus noise and de-noisin
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This folder contains the following sub-folders which are essential in our project:
1.Raw Data
All the raw data collected from Flagstaff hill, CMU Athletic Field, and Railroad on Neville St.
2.Filter
Filter to rule out signal of Channel
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The following Matlab project contains the source code and Matlab examples used for gradient neural network. The form of a single layer feed forward neural network lends itself to finding the gradient.
The source code and files included in this proj
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The following Matlab project contains the source code and Matlab examples used for neural network programs. Perceptron LMS Feed Forward Back Propagation Character Recognition
The source code and files included in this project are listed in the proj
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The following Matlab project contains the source code and Matlab examples used for neural network classifiers. Fast implementation of the GRLVQ, SRNG and H2MGLVQ algorithms, three supervised LVQ classifiers Please run mexme_NN to recompile mex files
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The following Matlab project contains the source code and Matlab examples used for hopfield neural network. Again I m uploading my homework.
The source code and files included in this project are listed in the project files section, please make sur
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