We have designed an adaptive analogue VLSI neuromorphic chip that will be used to interface MEM wind sensors to an insectinspired robot. The main chip components are a sensory inte...
Y. Zhang, A. Hamilton, R. Cheung, B. Webb, P. Argy...
Neural-symbolic systems are hybrid systems that integrate symbolic logic and neural networks. The goal of neural-symbolic integration is to benefit from the combination of feature...
Abstract--In this paper, we report some results on hardware and software co-design of an adaptive linear neuron (ADALINE) based control system. A discrete-time Proportional-Integra...
In this paper, we propose a neuro-genetic stock prediction system based on financial correlation between companies. A number of input variables are produced from the relatively h...
Feature extraction is a process that extracts salient features from observed variables. It is considered a promising alternative to overcome the problems of weight and structure o...