Research

Neural Networks and Fuzzy Systems

Current Funding:

Computational Intelligence: Adaptive Critics for Controller Design
NSF Grant no. ECS-9904378 (3 yr.; $300,000; 6/15/99-5/30/02)
NSF Grant no. ECS-0301022 (3 yr.; $308,000; 2003-2006)

Projects

Approximate Dynamic Programming / Adaptive Critic Techniques

DHP methodology for controller design/on-line adaptation

Training strategies for DHP controller training

Model requirements for controller training

Prestructuring Networks for Improved Training and Generalization

Function approximation

Pattern Recognition

Bridging Symbolic AI with NN-based AI

Neural Network Papers

Associated Courses

SYSC 575/EE 555 Artificial Neural Networks I

SYSC 576/EE 556 Artificial Neural Networks II

People

Faculty

George G. Lendaris

Students

Steve Shervais
Tad Shannon
Andres Rustan
Andreas Rechtsteiner
Larry Schultz

Associated

Christian Paintz

Pages

IEEE Computational Intelligence Society

International Neural Network Society

Accurate Automation Co.

Applied Computational Intelligence Lab at Texas Tech.

BYU Neural Nets and Machine Learning Lab

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