Kybernetes: Volume 24 Issue 3

Fast learning artificial neural networks for continuous input applications

D.J. Evans, L.P. Tay

A fast learning artificial neural network model (FLANN II) is developed to solve problems in the area of pattern classification for continuous input values. The operational…

An algorithm which learns multiple covers via integer linear programming. Part II: experimental results and conclusions

Krzysztof J. Cios, Ning Liu

Presents an inductive machine learning algorithm, CLILP2 that learns multiple covers for a concept from positive and negative examples. Although inductive learning is an…

Rule interpreters in ELEKTRA

Iain D. Craig

Describes a number of rule interpreters, each of which is represented as a set of production rules which can be executed as an ordinary ruleset in the ELEKTRA system. The…

Representations of logic functions

Edward T. Lee

Logic function representations play an important role in logic design and computer design, as well as VLSI design. There are many ways to represent a logic function. Presents and…

Cybernetic theory of the stochastic process

Sudhir Madan

The cybernetic theory of the stochastic process, introduced by Madan in 1978, is presented in terms of basic concepts; the cybernetic random variable (CRV); and the cybernetic…