This paper describes an evolvable hardware (EHW) system for generalized neural network learning. We have developed an ASIC VLSI chip, which is a building block to configure a scal...
This paper studies the design and application of the neural network based adaptive control scheme for autonomous underwater vehicle's (AUV's) depth control system that i...
—E-limited (or K-limited) scheduling is attractive because its performance is close to that of the exhaustive scheduling which is proven to be the optimal polling scheme for symm...
The purpose of this work is to develop a pattern recognition system simulating the human vision. A transparent neural network, with context returns is used. The context returns co...
— We put forth a unified framework for downlink and uplink scheduling of multiple connections with diverse qualityof-service requirements, where each connection transmits using ...