language: en

A Hybrid Intelligent Architecture for Refining Input Characterization and Domain Knowledge

Ismail Taha and Joydeep Ghosh
Department of Electrical and Computer Engineering, University of Texas,
Austin, TX 78712-1084
E-mail: fIsmail,Ghoshg@pine.ece.utexas.edu

Abstract: A Hybrid Intelligent Architecture that aims to exploit the complementary features of expert systems and connectionist architecture, is proposed to revise input characterization and initial domain knowledge. HIA has two building blocks, a Rule-Based module and a Connectionist Architecture module. A specific format for the rule-based description of the initial theory acquired from the application domain enables its mapping into a uniform, three layer network. Continuous inputs are discretized into input vectors using a new coarse coding scheme. An extension of the Backpropagation Algorithm allows refinement of the discretization functions. A successful application to the control of dams on the Colorado river near Austin, is described.

1 Introduction