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Home > World Congress On Neural Networks-San Diego: 1994 International Neural Network Society Annual Meeting > Neural linearizing control with radial basis function network for chemical processes
World Congress On Neural Networks-San Diego: 1994 International Neural Network Society Annual Meeting |
Paul Werbos; Harold Szu; Bernard Widrow
Routledge
World Congress On Neural Networks-San Diego: 1994 International Neural Network Society Annual Meeting
Neural linearizing control with radial basis function network for chemical processes
Authors

Sukjoon Kim; Minho Lee; Sunwon Park; Soo-Young Lee; Cheol Hoon Park

ARI Id

1665779248322_13714995

Access

Not Available Free

Pages

II-94-II-99

DOI

10.4324/9781315784076-19

Table of Contents of Book
Showing 1 to 20 of 145 entries
Chapters/HeadingsAuthor(s)PagesInfo
Neurocontrol and Robotics
II-1-II-78
Neural Networks for the Intelligent Control of Dynamical Systems
Kumpati S. Narendra
II-3-II-8
Radial Basis Function Networks for Mobile Robot Localisation
Neil W. Townsend; Mike J. Brownlow; Lionel Tarassenko
II-9-II-14
Neural Network Control of a Free-Flying Space Robot
Edward Wilson; Stephen M. Rock
II-15-II-22
A Neural Network Based Visuosteering Control Algorithm for Autonomous Land Vehicles
Doo-hyun Choi; Se-Young Oh; Kwang-Ick Kim
II-23-II-28
A Robot that Learns an Evaluation Function for Acquiring of Appropriate Motions
Katsunari Shibata; Yoich Okabe
II-29-II-34
Learning to Catch a Baseball: A Reinforcement Learning Perspective
Sreerupa Das; Rajarshi Das
II-35-II-40
A State History Queue for Efficient Implementation of a Reinforcement Learning System
Yendo Hu; Ronald D. Fellman
II-41-II-46
Inverse Kinematics via Linear Dynamic Networks
Karl Mathia; Richard Saeks
II-47-II-53
Good Fibrations: Canonical Parameterization of Fiber Bundles with Self-organizing Maps
David DeMers; Kenneth Kreutz-Delgado
II-54-II-59
An On-line Adaptive Controller Based on the Connectionlst Normalized Local Spline Neural Network for the Optimization and Control of a Small-Angle Negative Ion Source
W. C. Mead; P. S. Bowling; S. K. Brown; R. D. Jones; C. W. Barnes; H. E. Gibson; J. R. Goulding; Y. C. Lee
II-60-II-60
Neural modeling of non linear systems by systematic state space sampling.
Joan Codina; Josep M. Fuertes; Ricard Villà
II-61-II-65
A Reinforcement Learning Approach to On-Line Optimal Control
P.E. An; S. Aslam-Mir; M. Brown; C.J. Harris
II-66-II-72
A Pulse-Based Reinforcement Algorithm for Learning Continuous Functions
D Gorse; J G Taylor; T G Clarkson
II-73-II-78
Neurocontrol and Robotics
II-79-II-222
An Adaptive Heuristic Critic based Architecture for Exploring Mazes with Large Search Spaces
A. G. Pipe; Y. Jin; A. Winfield
II-81-II-86
A Proposed Hierarchical Neural Network Controller for a Hexapod Leg
A.L. Nel; J.G. Benadé
II-87-II-92
Hebbian Learning Strategies for Neural Adaptive Control
Chi-Sang Poon
II-93-II-93
Neural linearizing control with radial basis function network for chemical processes
Sukjoon Kim; Minho Lee; Sunwon Park; Soo-Young Lee; Cheol Hoon Park
II-94-II-99
Neurocontroller for Robot Biological Joint
S. Zein-Sabatto; M. Bodruzzman; C. Glover
II-100-II-105
Chapters/HeadingsAuthor(s)PagesInfo
Showing 1 to 20 of 145 entries
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