Clustering plays a vital role in machine based learning algorithms and in the present study, it is found that, the competitive learning algorithm that is very efficient for a number of non-linear real-time problems, offers efficient solution for clustering. This paper presents a comparative account of self-organizing models and proposes a hybrid self-organizing model for cluster analysis. The p...

Performance is the key issue in parallel processing. We want to investigate how far we can automate experimental performance analysis in order to achieve all necessary performance results for performance prediction, load balancing and algorithm optimisation. This paper describes the approach of generalising the performance analysis and obtaining the specific results by experiments.

In this paper we present results of our computer experiments to study effectiveness of involutive criteria for avoiding useless prolongations in construction of polynomial Janet bases. These bases are typical representative of involutive bases. Though involutive bases are usually redundant as Gröbner ones, they can be used as well as the reduced Gröbner bases in whose theory Volker Weispfenning...

A laboratory investigation on a scaled model of a landACT: l ti n a scaled o l f ­ fill liner was conducted to provide data regarding the occurrence l i e e and extent of desiccation cracking of prototype liners. The crack t t of desi t e li rs. intensity factor, CIF, was introduced as a descriptor of the extent of t f , , as i tr as f the extent of surficial cracking. CIF is defmed as the rati...

Indicative bidding is a practice commonly used in sales of complex and very expensive assets. Theoretical analysis shows that efficient entry is not guaranteed under indicative bidding, since there is no equilibrium in which more qualified bidders are more likely to be selected for the final sale. Furthermore, there exist alternative bid procedures that, in theory at least, guarantee 100% effic...

In this paper we introduce an efficient approach to Recursive Neural Networks (RecNNs) modeling, the Tree Echo State Network (TreeESN), extending the Echo State Network (ESN) model from sequential to tree structured domains processing. For structure-to-element transductions, the state mapping (i.e. the way in which the state values for the whole structure are selected/collected) turns out to ha...

The development of a modal model, from either frequency response measurements or from a finite element model, is useful for simulation and design studies. One of these studies is structural dynamics modification. This is a mathematical process which uses modal data (frequency, damping and mode shapes) to determine the effects of changes in the system characteristics due to physical structural c...

Platform competition is ubiquitous, yet platform market structure is little understood. Theory models typically su¤er from equilibrium multiplicity— platforms might coexist or the market might tip to either platform. We use laboratory experiments to study the outcomes of platform competition. When platforms are primarily vertically di¤erentiated, we …nd that even when platform coexistence is th...