基于Matlab与Linux的神经网络实现方法

介绍一种使用Matlab与其他编程工具联合编程、快速将神经网络转换成实际产品的方法，阐述经典BP网络的创建、完整C代码的导出与Linux/Qt程序的结合等问题及解决方法。使用该方法可以将BP神经网络算法快速地应用到嵌入式系统或者个人PC上，具有较高的运行效率，能缩短开发周期并降低成本。

Realization Method of Neural Network Based on Matlab and Linux

This paper introduces a method to realize the neural network to a product fast by using Matlab and other program tools to combine programming, presents some problems and solution, such as the creation of classic BP neural network, the integrated C code exporting, and the combination with Linux/Qt programs. Using this method can deploy the BP neural network algorithm to the embedded system or personal PC, it not only has good runtime effectiveness, but also can greatly reduce the cost and development time.