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ICANNGA
2007
Springer
153views Algorithms» more  ICANNGA 2007»
13 years 9 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...
EOR
2008
81views more  EOR 2008»
13 years 7 months ago
Investment timing and optimal capacity choice for small hydropower projects
This paper presents a method for assessing small hydropower projects that are subject to uncertain electricity prices. We present a real options-based method with continuous scali...
Thor Bøckman, Stein-Erik Fleten, Erik Juliu...
CCE
2004
13 years 7 months ago
Optimal waste reduction and investment planning under uncertainty
Ever-changing production campaigns complicate the management of recovery and treatment options for unavoidable effluents at pharmaceutical plants. Each campaign produces large amo...
Aninda Chakraborty, Andres Malcolm, Richard D. Col...
SBRN
1998
IEEE
13 years 12 months ago
Competitive and Temporal Hebbian Learning for Production of Robot Trajectories
This paper proposes an unsupervised neural algorithm for trajectory production of a 6-DOF robotic arm. The model encodes these trajectories in a single training iteration by using...
Guilherme De A. Barreto, Aluizio F. R. Araú...
EOR
2000
98views more  EOR 2000»
13 years 7 months ago
Optimal planning in large multi-site production networks
This contribution describes a general mixed-integer linear programming model based on a time-indexed formulation covering the relevant features required for the complete supply ch...
Christian Timpe, Josef Kallrath