AN ADAPTIVE LEAST SQUARES ALGORITHM FOR THE EFFICIENT TRAINING OF ARTIFICIAL NEURAL NETWORKS

Recently a number of publications have proposed alternative methods to apply in least mean square (LMS) algorithms in order to improve convergence rate. It has been also shown that variable step size methods can provide better convergence speed than the fixed step size ones. This paper introduces a new algorithm for the on-going calculation of the step size, and investigates its applicability in the training of multilayer neural networks. The proposed method seems to be efficient at least in the case of lower level additive input noise

ISpace - a tool for improving the quality of life

Intelligent Space or iSpace is a new kind of computing system aiming at improving the environments of humans, creating a natural and easy to use solution. Its main feature is that the intelligence is not implemented separately in the actors, but it is distributed in the whole space. In this paper, we summarize the concepts of iSpace and some of those methods which can advantageously be used for developing a new man-machine interface in iSpace applications

A new man-machine interface for ispace applications

Intelligent Space or iSpace is a new kind of computing system aiming at improving the environments of humans, creating a natural and easy to use solution. Its main feature is that the intelligence is not implemented separately in the actors, but it is distributed in the whole space. In this paper, we present a hand gesture and movement recognition system, whose purpose is to be used as an intuitive interface for the iSpace