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BP-SJWL
- 原始图像，灰度图像,边缘检测后图像,定位剪切后的彩色车牌图像,二值化车牌图像-The original image, grayscale image after image edge detection, color license plate image positioning after shearing, binary license plate image
sjwl
- 识别手写体0-9的数字，里面有一定的训练样本和测试样本，采用bp神经网络-0-9 handwritten identification number, which has some of the training and testing samples, the use of neural network bp
sjwl
- 运用神经网络算法对图像进行分类，里面包括实例-Neural network algorithm for image classification, which includes examples
sjwl
- 神经网络预测，程序结构简单，容易明白，非常适用，对大家有很大的帮助。-Neural network prediction program structure is simple, easy to understand, very well and everyone is very helpful.
sjwl
- bp神经网络对2ask，2fsk，4ask，4fsk，2psk，2fsk的训练学习(BP neural network, training, learning)
sjwl
- 用matlab编程，运用BP网络拟合白噪声的正弦样本数据(Using BP network to fit sine sampling data of white noise)
sjwl
- 实现齿轮接触应力和弯曲应力分析，用于拟合最大应力值与个参数的关系 神经网络(Analysis of contact stress and bending stress of gear)