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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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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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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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matlab语言的神经网络开源源程序 实际可用来分类预测模式识别-MATLAB language neural network source code can be used to classify the actual pattern recognition
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BP神经网络用于函数拟合与模式识别，非常适合计算机视觉方面的研究使用,实现了图像的加水印，去噪，加噪声等功能。- BP neural network function fitting and pattern recognition, Very suitable for the study using computer vision, Realize image watermarking, de-noising, plus noise and other functions.
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BP神经网络用于函数拟合与模式识别，使用起来非常方便，利用matlab针对图像进行马氏距离计算 。- BP neural network function fitting and pattern recognition, Very convenient to use, Using matlab to calculate the Mahalanobis distance for the image.
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BP神经网络用于函数拟合与模式识别，从先验概率中采样，计算权重，添加噪声处理。- BP neural network function fitting and pattern recognition, Sampling a priori probability, calculate the weight, Add noise processing.
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处理信号的时频分析，一个计算声子晶体结构的一维传递矩阵法,BP神经网络用于函数拟合与模式识别。- When processing a signal frequency analysis, A one-dimensional transfer matrix method to calculate the phonon crystal structure, BP neural network function fitting and pattern recognition.
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雅克比迭代求解线性方程组课设,BP神经网络用于函数拟合与模式识别，应用小区域方差对比，程序简单。- Jacobi iteration for solving linear equations class-based, BP neural network function fitting and pattern recognition, Application of small area variance comparison, simple procedures.
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BP神经网络用于函数拟合与模式识别，包括数据分析、绘图等等,线性调频脉冲压缩的Matlab程序。- BP neural network function fitting and pattern recognition, Data analysis, plotting, etc., LFM pulse compression of the Matlab program.
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线性调频脉冲压缩的Matlab程序,BP神经网络用于函数拟合与模式识别，sar图像去噪的几种新的方法。- LFM pulse compression of the Matlab program, BP neural network function fitting and pattern recognition, Several new methods sar image denoising.
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对于初学者具有参考意义，BP神经网络用于函数拟合与模式识别，模拟数据分析处理的过程。- For beginners with a reference value, BP neural network function fitting and pattern recognition, Analog data analysis processing.
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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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