This paper presents a wavelet neural-network for learning and approximation of chaotic time series. Wavelet-networks are inspired by both feed-forward neural networks and the theo...
This paper presents a comparative analysis of neural networks, simulated annealing, and genetic algorithms in the determination of input patterns for testing analog circuits. The ...
Computing in nature as is the case with the human brain is an emerging research area in theoretical computer science. The present paper’s aim is to explore biological neural cell...
Abstract. Internet traffic prediction plays a fundamental role in network design, management, control, and optimization. The self-similar and non-linear nature of network traffic m...
Hanghang Tong, Chongrong Li, Jingrui He, Yang Chen