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» Evolving Complex Neural Networks
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EUSFLAT
2009
245views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Universal Approximation of a Class of Interval Type-2 Fuzzy Neural Networks Illustrated with the Case of Non-linear Identificati
Neural Networks (NN), Type-1 Fuzzy Logic Systems (T1FLS) and Interval Type-2 Fuzzy Logic Systems (IT2FLS) are universal approximators, they can approximate any non-linear function....
Juan R. Castro, Oscar Castillo, Patricia Melin, An...
GECCO
2008
Springer
261views Optimization» more  GECCO 2008»
14 years 11 months ago
SSNNS -: a suite of tools to explore spiking neural networks
We are interested in engineering smart machines that enable backtracking of emergent behaviors. Our SSNNS simulator consists of hand-picked tools to explore spiking neural network...
Heike Sichtig, J. David Schaffer, Craig B. Laramee
SASO
2008
IEEE
15 years 4 months ago
An Infection-Based Mechanism for Self-Adaptation in Multi-agent Complex Networks
Distributed mechanisms that regulate the behavior of autonomous agents in open multi-agent systems (MAS) are of high interest since we cannot employ centralized approaches relying...
Norman Salazar, Juan A. Rodríguez-Aguilar, ...
COMPLEX
2009
Springer
15 years 1 months ago
A Comparative Analysis of Specific Spatial Network Topological Models
Creating ensembles of random but "realistic" topologies for complex systems is crucial for many tasks such as benchmark generation and algorithm analysis. In general, exp...
Jun Wang, Gregory M. Provan
ICANN
2007
Springer
15 years 4 months ago
Event Detection and Localization in Mobile Robot Navigation Using Reservoir Computing
Abstract. Reservoir Computing (RC) uses a randomly created recurrent neural network where only a linear readout layer is trained. In this work, RC is used for detecting complex eve...
Eric A. Antonelo, Benjamin Schrauwen, Xavier Dutoi...