Combining Semi-Physical and Neural Network Modeling : An Example of Its Usefulness

• 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.

Subject headings

TEKNIK OCH TEKNOLOGIER  -- Elektroteknik och elektronik -- Reglerteknik (hsv//swe)

ENGINEERING AND TECHNOLOGY  -- Electrical Engineering, Electronic Engineering, Information Engineering -- Control Engineering (hsv//eng)

Keyword

Nonlinear systems identification

Semi-physical modeling

Neural nets

Cybernetik Informationsteori

Artificiell Intelligens AI

Automatic control

Reglerteknik

Publication and Content Type

vet (subject category)

rap (subject category)