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» Introduction to artificial neural networks
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CHI
2005
ACM
14 years 8 months ago
NEmESys: neural emotion eliciting system
This paper describes the development of a new model of agent emotion elicitation called Nemesys. It enhances interfaces with emotional and social information. Nemesys is based on ...
Manfred Eckschlager, Regina Bernhaupt, Manfred Tsc...
GECCO
2007
Springer
314views Optimization» more  GECCO 2007»
14 years 2 months ago
Variable selection for wind power prediction using particle swarm optimization
Wind energy has an increasing influence on the energy supply in many countries, but in contrast to conventional power plants it is a fluctuating energy source. For its integration...
René Jursa
ISCAS
1995
IEEE
97views Hardware» more  ISCAS 1995»
13 years 11 months ago
A New Paradigm for Developing Digital Systems Based on a Multi-Cellular Organization
Embryological electronics or “Embryonics” is a new paradigm for developing digital systems of any complexity, endowed of universal computation, self-repair and self-reproducti...
Daniel Mange, Serge Durand, Eduardo Sanchez, Andr&...
ALIFE
2005
13 years 8 months ago
Flexible Couplings: Diffusing Neuromodulators and Adaptive Robotics
Recent years have seen the discovery of freely diffusing gaseous neurotransmitters, such as nitric oxide (NO), in biological nervous systems. A type of artificial neural network (A...
Andrew Philippides, Phil Husbands, Tom Smith, Mich...
ICAISC
2004
Springer
14 years 1 months ago
Semi-mechanistic Models for State-Estimation - Soft Sensor for Polymer Melt Index Prediction
Nonlinear state estimation is a useful approach to the monitoring of industrial (polymerization) processes. This paper investigates how this approach can be followed to the develop...
Balazs Feil, János Abonyi, Peter Pach, Sand...