Treatment Method on Vary Interval Data Serial Based on Chaotic Neural Network and Improved Chaotic Wavelet

For vary interval data serial, the data serial is interpolaed by Chaos-dynamic neural network method. combining the chaotic feature of data serial, the method of Wavelet denoising of data serial is improved, and the noise is effectively filtered, while the variation trend and data character of initial data can well be retained, and real signal (abnormal value) can be reserved. So these treatment methods can provide with reliable analysis date for the successor research.