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使用MATLAB GUI编写的有界面的神经网络分类的方法。适合做课程设计-The preparation of the use of MATLAB GUI interface of the method of neural network classification. Suitable for curriculum design
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基于神经网络的字母和数字识别，采用matlab编写带有gui界面-Based on neural network identification letters and numbers used to prepare with a gui interface matlab
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自己编写的一个基于matlab的图像压缩程序，有GUI界面，不能程度的压缩效果以及信噪比。-His writing of a based on the matlab image compression program, a GUI interface, can t degree of compression effect and signal-to-noise ratio.
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一个简单的数字识别，运用的BP神经网络训练，gui界面-A simple digital identification, the use of the BP neural network training, gui interface
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应用BP神经网络对图片进行数字识别，设计GUI界面，操作简单。-BP neural network for digital identification, GUI interface design, simple operation.
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多种分类器gui界面，包括支持向量机、贝叶斯分类器、感知机、神经网络等-Multiple classifier GUI interface, including support vector machines, Bayesian classifier, perceptron neural network
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里面的程序是bp神经网络的应用，另一个回归分析的程序还没有写。可以实现的功能是利用神经网络，然后上传数据，根据数据训练网络，然后可以输入部分数据，验证网络。通过界面来设计实现-Which the program is applied bp neural network, another regression analysis program also did not write. Function can be achieved by using neural network, and then
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一个matlab编写的利用神经网络算法的GUI交互界面程序-A matlab prepared using neural network algorithm GUI interface program
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基于小波和神经网络的人脸识别系统，里面含有GUI界面-Wavelet and neural network-based face recognition system
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车牌识别，利用颜色聚类法进行车牌定位，并利用模板进行神经网络的训练并检测，有GUI界面。-
License plate recognition, clustering method using color plates positioning, and use templates to train the neural network and detect with GUI interface.
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一种基于RBF、BP神经网络手写数字识别的方法，里面包含GUI界面，方便理解，代码注释详细-One kind of RBF, BP neural network handwritten numeral recognition based method, which contains GUI interface, easy to understand, detailed code comments
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基于MATLAB的汽车车牌牌照的识别。利用BP神经网络做GUI界面-Recognition of Vehicle License Plate License Based on. Using BP neural network to do GUI interface
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matlab 车牌识别，含有gui界面，边缘检测车牌定位，神经网络字符识别(Matlab license plate recognition, including GUI interface, edge detection, license plate location, neural network, character recognition)
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本文主要实现手写数字识别，利用多类逻辑回归与神经网络两种方法实现,并编写有GUI界面。(This paper mainly implements handwritten numeral recognition, using multiple logic regression and neural network to achieve two methods, and the preparation of a GUI interface.)
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