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OL
2011
332views Neural Networks» more  OL 2011»
14 years 11 months ago
A robust implementation of a sequential quadratic programming algorithm with successive error restoration
We consider sequential quadratic programming (SQP) methods for solving constrained nonlinear programming problems. It is generally believed that SQP methods are sensitive to the a...
Klaus Schittkowski
PRL
2011
14 years 11 months ago
Object recognition using proportion-based prior information: Application to fisheries acoustics
: This paper addresses the inference of probabilistic classification models using weakly supervised learning. The main contribution of this work is the development of learning meth...
Riwal Lefort, Ronan Fablet, Jean-Marc Boucher
EH
2005
IEEE
158views Hardware» more  EH 2005»
15 years 9 months ago
Hardware Evolution of Analog Circuits for In-situ Robotic Fault-Recovery
We present a method for evolving and implementing artificial neural networks (ANNs) on Field Programmable Analog Arrays (FPAAs). These FPAAs offer the small size and low power usa...
Dmitry Berenson, Nicolás S. Estévez,...
CIS
2008
Springer
15 years 6 months ago
A Near-Optimal Redundancy Allocation Strategy that Minimizes a System's Vulnerability to Hazardous Events and Malicious Attacks
Delivering continuous services in information infrastructures is a major challenge. For system or network administrators, redundancy allocation is one of the best strategies to en...
Frank Yeong-Sung Lin, Po-Hao Tsang, Kun-Dao Jiang
ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
15 years 5 months ago
A Neural Framework for Robot Motor Learning Based on Memory Consolidation
Neural networks are a popular technique for learning the adaptive control of non-linear plants. When applied to the complex control of android robots, however, they suffer from se...
Heni Ben Amor, Shuhei Ikemoto, Takashi Minato, Ber...