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IWANN
2007
Springer
15 years 4 months ago
Integration of Wind Sensors and Analogue VLSI for an Insect-Inspired Robot
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...
AAAI
2004
14 years 11 months ago
Fibring Neural Networks
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...
Artur S. d'Avila Garcez, Dov M. Gabbay
JCP
2008
126views more  JCP 2008»
14 years 10 months ago
Hardware/Software Co-design Approach for an ADALINE Based Adaptive Control System
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...
Shouling He, Xuping Xu
GECCO
2005
Springer
140views Optimization» more  GECCO 2005»
15 years 3 months ago
Stock prediction based on financial correlation
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...
Yung-Keun Kwon, Sung-Soon Choi, Byung Ro Moon
GECCO
2005
Springer
175views Optimization» more  GECCO 2005»
15 years 3 months ago
Nonlinear feature extraction using a neuro genetic hybrid
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...
Yung-Keun Kwon, Byung Ro Moon