A mathematical framework for learning and adaption: (generalized) random systems with complete connections

Autores: Ulrich Herkenrath, Radu Theodorescu
Localización: Trabajos de estadística e investigación operativa, ISSN 0041-0241, Vol. 32, Nº. 1, 1981, págs. 116-129
Idioma: inglés
DOI: 10.1007/bf03021692
Títulos paralelos:
- Marco matemático para aprendizaje y adaptación: sistemas aleatorios (generalizados) con conexiones completas
Enlaces
- Texto completo (pdf)
Resumen
- The aim of this paper is to show that the theory of (generalized) random systems with complete connection may serve as a mathematical framework for learning and adaption. Chapter 1 is of an introductory nature and gives a general description of the problems with which one is faced. In Chapter 2 the mathematical model and some results about it are explained. Chapter 3 deals with special learning and adaption models