Combining Semi-Physical and Neural Network Modeling: An Example of Its Usefulness
1997 (English)In: Proceedings of the 11th IFAC Symposium on System Identification, 1997, Vol. 4, 795-798 p.Conference paper (Refereed)
This paper illustrates the power of combining semi-physical and neural network modeling in an application example. It is argued that some of the problems related to the use of neural networks, such as high dimensionality of the parameter space and problems with undesired local minima, can be alleviated by this approach.
Place, publisher, year, edition, pages
1997. Vol. 4, 795-798 p.
Neural network, Parameter, Local minima
IdentifiersURN: urn:nbn:se:liu:diva-93781ISBN: 0080425925OAI: oai:DiVA.org:liu-93781DiVA: diva2:628836
11th IFAC Symposium on System Identification, Fukuoka, Japan, July, 1997