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» Introduction to artificial neural networks
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ICAISC
2010
Springer
13 years 10 months ago
Computer Assisted Peptide Design and Optimization with Topology Preserving Neural Networks
Abstract. We propose a non-standard neural network called TPNN which offers the direct mapping from a peptide sequence to a property of interest in order to model the quantitative ...
Jörg D. Wichard, Sebastian Bandholtz, Carsten...
OR
2006
Springer
13 years 8 months ago
Financial forecasting through unsupervised clustering and neural networks
In this paper, we review our work on a time series forecasting methodology based on the combination of unsupervised clustering and artificial neural networks. To address noise and...
Nicos G. Pavlidis, Vassilis P. Plagianakos, Dimitr...
ISCAS
2007
IEEE
122views Hardware» more  ISCAS 2007»
14 years 2 months ago
Neuromimetic ICs with analog cores: an alternative for simulating spiking neural networks
- This paper aims at discussing the implementation of simulation systems for SNN based on analog computation cores (neuromimetic ICs). Such systems are an alternative to completely...
Sylvie Renaud, Jean Tomas, Yannick Bornat, Adel Da...
ICMCS
2010
IEEE
211views Multimedia» more  ICMCS 2010»
13 years 9 months ago
Heterogenesis: Collectively emergent autonomy
Heterogenesis is an interactive sound and tactile installation consisting of a group of autonomous artificial agents that collectively generate and evolve a soundscape in response...
Carlos Castellanos, Diane Gromala, Philippe Pasqui...
IDEAL
2004
Springer
14 years 1 months ago
Exploiting Safety Constraints in Fuzzy Self-organising Maps for Safety Critical Applications
This paper defines a constrained Artificial Neural Network (ANN) that can be employed for highly-dependable roles in safety critical applications. The derived model is based upon t...
Zeshan Kurd, Tim P. Kelly, Jim Austin