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» Analog Hardware Model for Morphological Neural Networks
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EH
2002
IEEE
97views Hardware» more  EH 2002»
14 years 18 days ago
Coevolution of Form and Function in the Design of Micro Air Vehicles
This paper discusses approaches to cooperative coevolution of form and function for autonomous vehicles, specifically evolving morphology and control for an autonomous micro air v...
Magdalena D. Bugajska, Alan C. Schultz

Publication
234views
13 years 11 months ago
Evolution of Analog Networks using Local String Alignment on Highly Reorganizable Genomes
We introduce and apply a genetic representation for analog electronic circuits based on the association of character strings extracted from the genome with the terminals and param...
Claudio Mattiussi, Dario Floreano
EH
1999
IEEE
351views Hardware» more  EH 1999»
13 years 12 months ago
Evolvable Hardware or Learning Hardware? Induction of State Machines from Temporal Logic Constraints
Here we advocate an approach to learning hardware based on induction of finite state machines from temporal logic constraints. The method involves training on examples, constraint...
Marek A. Perkowski, Alan Mishchenko, Anatoli N. Ch...
ARC
2009
Springer
175views Hardware» more  ARC 2009»
14 years 2 months ago
A Hardware Accelerated Simulation Environment for Spiking Neural Networks
Spiking Neural Networks (SNNs) model the biological functions of the human brain enabling neuro/computer scientists to investigate how arrays of neurons can be used to solve comput...
Brendan P. Glackin, Jim Harkin, T. Martin McGinnit...
ICASSP
2009
IEEE
13 years 11 months ago
Neural network based language models for highly inflective languages
Speech recognition of inflectional and morphologically rich languages like Czech is currently quite a challenging task, because simple n-gram techniques are unable to capture impo...
Tomas Mikolov, Jirí Kopecký, Lukas B...