This paper describes a memory-based network that provides estimates of continuous
variables and converges to the underlying (linear or nonlinear) regression surface. This …

Abstract Machine learning techniques are widely used to understand and predict data trends
and therefore can provide a huge computational advantage over conventional numerical …

Abstract The Self-Organizing Map (SOM) algorithm has attracted an ever increasing amount
of interest among researches and practitioners in a wide variety of elds. The SOM and a …

Artificial Intelligence (AI) has recently been recognized as a worthwhile tool for supporting
manufacturing operations. This paper reviews AI-related approaches to Group Technology …

Neural networks, as a new computational technique, require a comparison of performances
to classical techniques. This fundamental research thought appears complicated when it …

The Self-Organizing Map (SOM) network, a variation of neural computing networks, is a
categorization network developed by Kohonen. The theory of the SOM network is motivated …

In dynamic production environment, quick adaptation for new product design is an important
issue to achieve competitive edge. To address this issue, virtual cellular manufacturing has …

A method called constrained topological map** (CTM) has been recently proposed for
nonparametric regression analysis (V. Cherkassky and H. Lari-NaJafi, 1990). The CTM …

Widely known statistical and artificial neural network methods for regression are based on
function approximation, ie representing an unknown (high-dimensional) function as a …

Variations on the standard Kohonen feature map can enable an ordering of the map state
space by using only a limited subset of the complete input vector. Also it is possible to …