A Neural Network-Based Interval Pattern Matcher

Information

Jing Lu³  Shengjun Xue³  Xiakun Zhang¹  Yang Han² 

[1] National Meteorological Center of China Meteorological Administration, Beijing 100081, China;School of Environmental Science and Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China; E-Mail:;School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing 210044, China; E-Mails:

关键词: neural network;    interval;    pattern matcher;    weather forecasting;   

DOI  :  10.3390/info6030388

来源: mdpi

【 摘 要 】

One of the most important roles in the machine learning area is to classify, and neural networks are very important classifiers. However, traditional neural networks cannot identify intervals, let alone classify them. To improve their identification ability, we propose a neural network-based interval matcher in our paper. After summarizing the theoretical construction of the model, we take a simple and a practical weather forecasting experiment, which show that the recognizer accuracy reaches 100% and that is promising.

【 授权许可】

CC BY   
© 2015 by the authors; licensee MDPI, Basel, Switzerland.