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» Explanation-Based Neural Network Learning for Robot Control
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104
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IJCNN
2000
IEEE
15 years 6 months ago
On Derivation of MLP Backpropagation from the Kelley-Bryson Optimal-Control Gradient Formula and Its Application
The well-known backpropagation (BP) derivative computation process for multilayer perceptrons (MLP) learning can be viewed as a simplified version of the Kelley-Bryson gradient f...
Eiji Mizutani, Stuart E. Dreyfus, Kenichi Nishio
128
Voted
ICRA
2000
IEEE
124views Robotics» more  ICRA 2000»
15 years 5 months ago
Design of a Cricket Microrobot
Our goal is to develop an autonomous robot that will fit within a two-inch cube and will locomote by walking and jumping. The robot will be based on the kinematics of a cricket. I...
Matthew C. Birch, Roger D. Quinn, Geon Hahm, Steph...
GECCO
2007
Springer
158views Optimization» more  GECCO 2007»
15 years 8 months ago
A novel generative encoding for exploiting neural network sensor and output geometry
A significant problem for evolving artificial neural networks is that the physical arrangement of sensors and effectors is invisible to the evolutionary algorithm. For example,...
David B. D'Ambrosio, Kenneth O. Stanley
CEC
2009
IEEE
14 years 11 months ago
A multiple hormone approach to the homeostatic control of conflicting behaviours in an autonomous mobile robot
This work proposes a biologically inspired system for the coordination of multiple and possible conflicting behaviours in an autonomous mobile robot, devoted to explore novel scena...
Renan C. Moioli, Patrícia Amâncio Var...
135
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SEAL
1998
Springer
15 years 6 months ago
Robust Evolution Strategies
This paper empirically investigates the use and behaviour of Evolution Strategies (ES) algorithms on problems such as function optimisation and the use of evolutionary artificial ...
Kazuhiro Ohkura, Yoshiyuki Matsumura, Kanji Ueda