Knowledge based modular networks for process modelling and control

• Tipo: Artigo em Revista Científica Internacional
• Data: 2000

Autores

Joana Peres (Autor) FEUP; R. Oliveira (Autor) Outra; Sebastião Feyo de Azevedo (Autor) FEUP

Revista

Título: Computer Aided Chemical Engineering

Vol. 8 Nº 4-6

Páginas: 247-252

ISSN: 1570-7946

Editora: Elsevier

Indexação

Scopus - 1 Citação

Outras Informações

ID Authenticus: P-007-VHP

DOI: 10.1016/s1570-7946(00)80043-7

Abstract (EN): In the present work we formulate a general structure for hybrid models. The structure is inspired in the Mixture of Experts (ME) Network developed by-Jacobs and Jordan (1991). The expert modules are extended to formulate knowledge at different levels of sophistication. The resulting hybrid modular network can be given a probabilistic interpretation. In particular the learning algorithm is viewed as a maximum likelihood parameter estimation. The concepts are illustrated by the application to a baker's yeast production process.

Idioma: Inglês

Tipo (Avaliação Docente): Científica

Nº de páginas: 6