BP神经网络预测控制算法研究及其应用

神经网络控制算法是近年来的研究热点,其中的BP神经网络控制算法是最常用的控制算法,它是前馈网络中的核心部分,可以无限逼近任意非线性,实现数据压缩。本文运用BP神经网络控制算法,借助Matlab神经网络工具箱函数,编写程序,首先做了一个非线性函数的逼近,其次重点运用BP神经网络实现图像压缩,通过试验比较,选择合适的训练函数,设定最小误差和最大训练步数,实现图像压缩,并计算了图像的信噪比及峰值信噪比,比较了不同压缩比下图像质量,最后分析了BP神经网络的局限性。

The Research and Application of BP Neural Network Predictive Control Algorithm

In recent years, neural network has become a hot topic. BP neural network control algorithm is the most commonly used neural network control, and it is the core part of the feedforward network. It can approximate any nonlinear and can realize the data compression. This paper uses BP neural network control algorithm with the help of neural network toolbox function of Matlab, choosing the proper training function, set ing the minimum error and maximum training step, writing code, creating a three layer network, approximating a nonlinear function firstly,then implementing image compression, calculating the PSNR and SNR of the image, comparing the quality of the image under the condition of dif erent compression ratio, and analyzes the disadvantages of BP network.