Toward Opitmal Fuzzy Associative Systems using Interactive Self-Organizing Maps and Multi-Layer Feed Forward Principles

Author

Thomas E. Sandidge
Cihan H. Dagli, Missouri University of Science and TechnologyFollow

Abstract

The objective is to find optimal fuzzy membership functions for any given data without using information external to the data set itself. This paper only reports research using a multi-layer feed forward architecture with one input variable. Target variables are the cumulative distribution of the input data and the constant one. Although learning is supervised, values are derived only from input data itself and the state of the network.

Recommended Citation

T. E. Sandidge and C. H. Dagli, "Toward Opitmal Fuzzy Associative Systems using Interactive Self-Organizing Maps and Multi-Layer Feed Forward Principles," Intelligent Engineering Systems Through Artificial Neural Networks, American Society of Mechanical Engineers (ASME), Nov 1998.

Meeting Name

Artificial Neural Networks in Engineering Conference, ANNIE 1998 (1998: Nov. 1-4, St. Louis, MO)

Department(s)

Engineering Management and Systems Engineering

Keywords and Phrases

Fuzzy Membership Function; Input Data; One Input Variable

Document Type

Article - Conference proceedings

Document Version

Citation

File Type

text

Language(s)

English

Rights

© 1998 American Society of Mechanical Engineers (ASME), All rights reserved.

Publication Date

04 Nov 1998