A temporal neural network model for constructing connectionist expert system knowledge bases

Date

1996-04-01

Author

Alpaslan, Ferda Nur
Swigger, KM

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

11
views

0
downloads

This paper introduces a temporal feedforward neural network model that can be applied to a number of neural network application areas, including connectionist expert systems. The neural network model has a multi-layer structure, i.e. the number of layers is not limited. Also, the model has the flexibility of defining output nodes in any layer. This is especially important for connectionist expert system applications.

Subject Keywords

Computer Networks and Communications, Hardware and Architecture, Computer Science Applications

URI

https://hdl.handle.net/11511/48652

Journal

JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

DOI

https://doi.org/10.1006/jnca.1996.0010

Collections

Department of Computer Engineering, Article

Citation Formats

F. N. Alpaslan and K. Swigger, “A temporal neural network model for constructing connectionist expert system knowledge bases,” JOURNAL OF NETWORK AND COMPUTER APPLICATIONS, vol. 19, no. 2, pp. 119–133, 1996, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/48652.