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» Optimal Control with Adaptive Internal Dynamics Models
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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 9 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
SIAMAM
2011
14 years 11 months ago
Modeling and Design Optimization of a Resonant Optothermoacoustic Trace Gas Sensor
Trace gas sensors that are compact and portable are being deployed for use in a variety of applications including disease diagnosis via breath analysis, monitoring of atmospheric p...
Noemi Petra, John Zweck, Susan E. Minkoff, Anatoli...
GECCO
1999
Springer
130views Optimization» more  GECCO 1999»
15 years 8 months ago
Heterochrony and Adaptation in Developing Neural Networks
This paper discusses the simulation results of a model of biological development for neural networks based on a regulatory genome. The model’s results are analyzed using the fra...
Angelo Cangelosi
PE
2010
Springer
124views Optimization» more  PE 2010»
14 years 11 months ago
High-level approach to modeling of observed system behavior
Current computer systems and communication networks tend to be highly complex, and they typically hide their internal structure from their users. Thus, for selected aspects of cap...
Thomas Begin, Alexandre Brandwajn, Bruno Baynat, B...
PADS
2006
ACM
15 years 10 months ago
Intelligent Management of Data Driven Simulations to Support Model Building
Artificial intelligence (AI) can contribute to the management of a data driven simulation system, in particular with regard to adaptive selection of data and refinement of the mo...
Catriona Kennedy, Georgios K. Theodoropoulos