搜索资源列表
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MATLAB程序编写的神经网络ELMAN算法，实现故障模式识别-MATLAB programming Elman neural network algorithm, the fault pattern recognition
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MATLAB实现BP神经网络故障模式识别的示例-MATLAB BP neural network fault examples of pattern recognition
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人工神经网络（感知器模型和BP算法）
模式识别课程实验-artificial neural network (perceptron model and BP algorithm) Experimental Pattern Recognition
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模式识别课程作业-神经网络分类IRIS数据集.共两层网络，程序有详细注释。程序结果将输出到EXCEL文件中，也很详细。-Course work in pattern recognition- Neural Network Classification IRIS data set. A total of two networks, a detailed program notes. Program results will be output to the EXCEL file, and very
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matlab中应用BP神经网络对模式识别的源码-matlab application of BP neural network for pattern recognition of the source
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模式识别基本方法matlab源代码，包括最小二乘法、SVM、神经网络、1_k近邻法、剪辑法、特征选择和特征变换。-Basic method of pattern recognition matlab source code, including the least squares method, SVM, neural network, 1_k neighbor method, editing method, feature selection and feature transformatio
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采用神经网络实现手写识别的一种方法，建立Bp神经网络，采用快速训练方法，可快速完成一类相关手写字体的模式识别，识别率较高，当字体变化较大识别率降低时，可重新训练具有较强的适应性。实验证实本方法较好实现了手写字符识别，但也存在识别速度较慢，有时训练不收敛等缺点-Handwriting recognition using neural network is a way to establish Bp neural network, using fast training methods, and c
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用bp神经网络对经提取得到的信号特征参数进行信号的模式识别。-Bp neural network used by the signal characteristic parameters were extracted for signal pattern recognition.
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用rbf神经网络对经提取得到的信号特征参数进行信号的模式识别。-Rbf neural network by using extracted parameters of the signal characteristics of the signal pattern recognition.
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神经网络模式识别及其实现源代码，包括
1 第3、4、6、8、9、10章代码
2 详细说明-Neural network pattern recognition and realization of the source code, including 1 3,4,6,8,9,10 Code Chapter 2 details
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this code for character recognition.this code can recognize an image with array matrix of [3x3]. this code apply a neural network method.-this is code for character recognition.this code can recognize an image with array matrix of [3x3]. this code ap
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模式识别作业-自编的BP神经网络判断异或的matlab源代码，每一步都有详细说明。并有详细的结果输出。-Pattern recognition operations- the BP neural network to determine self XOR the matlab source code, detailed descr iption of each step. And a detailed results output.
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基于BP神经网络的模式识别方法，基于简单易懂的特点，同时有助于深刻理解神经网络的学习训练方法。-BP neural network pattern recognition method based on the characteristics of easy to understand, while helping a deep understanding of the neural network learning and training methods.
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BP神经网络的网络模式识别程序包括网络训练程序chap7_2a.m和网络测试程序chap7_2b.m-BP neural network pattern recognition program networks, including network training procedures chap7_2a.m and network testing procedures chap7_2b.m
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应用小波神经网络进行模式识别的MATLAB源程序-Wavelet neural network pattern recognition MATLAB source
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采用MATLAB神经网络中的BP网络进行26个英语字母的仿真识别。采用了改进型的BP算法设计了26个字符的模式识别系统。并对该系统进行了训练和测试。-MATLAB neural network in the BP network for 26 English letters of the simulation. The pattern recognition system based on the improved BP algorithm is designed. And training a
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多抽样率信号处理，仿真效率很高的，复化三点Gauss-lengend公式求pi，插值与拟合，解方程，数据分析，有较好的参考价值，基于人工神经网络的常用数字信号调制，模式识别中的bayes判别分析算法，可以广泛的应用于数据预测及数据分析。- Multirate signal processing, High simulation efficiency, Complex of three-point Gauss-lengend the Formula pi, Interpolation and fi
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基于人工神经网络的常用数字信号调制，模式识别中的bayes判别分析算法，一个很有用的程序，有PMUSIC 校正前和校正后的比较，滤波求和方式实现宽带波束形成，相关分析过程的matlab方法，利用自然梯度算法。- The commonly used digital signal modulation based on artificial neural network, Pattern Recognition bayes discriminant analysis algorithm, A ver
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Matlab模式识别例程，包括神经网络算法和BP算法，C均值算法与模糊C均值算法和SVM分类算法。-Matlab pattern recognition routines, including neural network algorithm and BP algorithm, C-means algorithm and Fuzzy C-means algorithm and SVM classification algorithm.
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matlab实现一些基础的模式识别工作，如贝叶斯分类，聚类算法，bp神经网络(Matlab implements some basic pattern recognition work, such as Bayesian classification, clustering algorithm, BP neural network)
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