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This paper presents a neural network (NN) approach for determining the best design combination of product form elements that match a given product value represented by eco-product value (EpV) attributes. Twenty-seven representative office chairs are derived from 100 collected as the experimental samples by using multidimensional scaling and cluster analysis. Moreover, a morphological analysis is applied...
In this paper we propose a novel approach to constructing a discriminant visual codebook in a simple and extremely fast way as a one-pass, that we call Resource-Allocating Codebook (RAC), inspired by the Resource Allocating Network (RAN) algorithms developed in the artificial neural networks literature. Unlike density preserving clustering, this approach retains data spread out more widely in the...
Recently quite much attention was given to the investigation of Particle Swarm Optimization algorithm (PSO). It was proved that PSO algorithm has exhibited good performance across wide range application problems. This paper proposes the use of PSO algorithm for decision making model updating. The decision making model is used to generate one-step forward investment decisions for stock markets. The...
The article is devoted to investigation of the problem of input attribute space formation for solution of the task of financial time series prediction with application of artificial neural networks. The new approach to solve this task is offered which is based on cluster analyses application. Artificial neural network of Kokhonen is applied as an instrument of cluster analyses. Comparison of the proposed...
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