基于小波变换分析ANN实现的含噪图像数字识别研究

The Research of Containing Chirps Image Digital Recognition Based on Wavelet Transforms Analysis Realizing ANN

本文研究了基于小波变换平滑降噪,ANN(人工神经网络)实现的含噪图像数字识别。本文从数字识别的主要原理、小波变换图像降噪以及BP神经网络的实现等方面进行了探讨。阐述了BP神经网络的网络的原理,设计BP网络的过程及其实现和改进方案,并附有大量的实验数据。

This paper studies containing chirps image digital number recognition based on wavelet transforms analysis realizing ANN. The author discusses the principle of digital recognition, the decreasing chirps of wavelet transforms image, the realizing of BP neural network. The author also introduces the principle of a classical BP neural network and the designing process. Plenty of tables and graphs are also included in this article.