搜索资源列表
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神经网络模式识别及其实现 -pattern recognition and neural network to achieve pattern recognition and neural network to achieve
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CPLD的程序，用住于虚心的学习神经网络模式识别及其实现-CPLD procedures used to live modestly in the learning neural network and pattern recognition to achieve
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本文介绍了医学信号分析的常用方法，着重介绍了神经网络模式识别，包括他的优点及不足，最后介绍了神经网络的模型选择。-medical signal analysis methods commonly used to highlight the neural network pattern recognition, including his strengths and weaknesses, and the final presentation to the neural network model
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模式识别入门与提高（代码大全）包括很多实例，尤其是神经元网络-entry and improve pattern recognition (code Daquan) includes many examples, in particular neural network
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VC 图像模式识别的分类程序，里面有神经网络的算法，很经典,VC image pattern recognition classification procedures, there are neural network algorithm, it is a classic
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针对实际对象数学模型不明确而难以控制的问题,采用人工免疫网络的离散模
型与学习算法,将人工免疫系统与神经网络结构的优势相结合,提出了一种基于人工免疫
网络的模式识别算法,构造了对象识别的人工免疫网络模型.该算法综合了网络节点的定
位与参数调整以及对基函数的平滑因子实施调谐等功能,有效地解决了径向基函数
(RBF)神经网络模式识别的两个阶段任务,使模式识别的精度有较大的改进.采用两个不
同对象函数进行的仿真试验表明,该算法具有快速收敛性与较高的准确性.
-Mathemati
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人工神经网络的实验报告，用于模式识别、函数逼近和网络预测。-Artificial Neural Network Experiment Report for pattern recognition, function approximation and forecast network.
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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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bp神经网络用于模式识别，采用sigmod函数，没有利用matlab神经网络工具箱。-bp neural networks for pattern recognition, to adopt sigmod function using matlab neural network toolbox.
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模式识别的图像的贝叶斯分类图图像的贝叶斯分类神经网络模式识别
-Bayesian pattern recognition, image classification maps the image of the Bayesian classifier neural network pattern recognition
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rbf神经网络用于分类识别，，故障诊断，模式识别，自己编写的
-rbf neural network for classification and identification, fault diagnosis, pattern recognition, write your own
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Neural networks have emerged as a field of study within AI and engineering via the collaborative efforts of engineers, physicists, mathematicians, computer scientists, and neuroscientists. Although the strands of research are many, there is a basic u
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BP神经网络算法的matlab实现，对于模式识别具有重要意义。-BP neural network algorithm matlab realize, for pattern recognition is important.
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自己编的人工神经网络（ANN）单隐层 单输出 ，不是调用函数newff产生的 ，用于模式识别-Own series of artificial neural network (ANN) single hidden layer single output, instead of calling the function newff generated for pattern recognition
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人工神经网络的c语言实现，用于模式识别、最优化问题求解等-C language realizing artificial neural networks for pattern recognition, optimization problem solving, etc.
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BP神经网络代码 c语言实现 可以用于模式识别 比如车牌识别等-BP神经网络编码 可用于模式识别 比如车牌识别等
BP neural network encoding can be used for pattern recognition, such as license plate recognition, etc.
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As signatures are widely accepted bio-metric for authentication and identification of a person because every person
has a distinct signature with its specific behavioral property, so it is very much necessary to prove the authenticity of signature
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重要参数的提取，给出接收信号眼图及系统仿真误码率，BP神经网络用于函数拟合与模式识别。- Extract important parameters, The received signal is given eye and BER simulation systems, BP neural network function fitting and pattern recognition.
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对信号进行频谱分析及滤波，BP神经网络用于函数拟合与模式识别，这个有中文注释，看得明白。- The signal spectral analysis and filtering, BP neural network function fitting and pattern recognition, The Chinese have a comment, understand it.
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The following Matlab project contains the source code and Matlab examples used for neural network for pattern recognition tutorial. Simple tutorial on pattern recognition using back propagation neural networks. the program has 3 classes with 3 images
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