The University of Computer Science is an educational-production centre that develops computer applications and services in different areas of knowledge. Because of the added value that the developed applications get w...
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ISBN:
(纸本)9783030525750;9783030525743
The University of Computer Science is an educational-production centre that develops computer applications and services in different areas of knowledge. Because of the added value that the developed applications get when Artificial Intelligence techniques are used for decision making, the academic formation of the students in the different disciplines of the profession with emphasis on Artificial Intelligence is of high interest. This work describes a computational tool to support teaching that uses the conceptual algorithms of logical combinatorial recognition to determine the architecture and the set of initial weights of an artificial neural network, which contributes to the temporal efficiency of the learning process of the network and the efficiency of the classification. Experiments using Friedman's test and cross validation method demonstrate the applicability of this hybrid model in a Multilayer Perceptron.
In this paper, a new conceptual algorithm for the conceptual analysis of mixed incomplete data sets is introduced. This is a logical combinatorial pattern recognition (LCPR) based tool for the conceptual structuraliza...
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In this paper, a new conceptual algorithm for the conceptual analysis of mixed incomplete data sets is introduced. This is a logical combinatorial pattern recognition (LCPR) based tool for the conceptual structuralization of spaces. Starting from the limitations of the elaborated conceptual algorithms, our laboratories are working in the application of the methods, the techniques, and in general, the philosophy of the logical combinatorial pattern recognition with the task to improve those limitations. An extension of Michalski's concept of l-complex for any similarity measure, a generalization operator for symbolic variables, and an extension of Michalski's refunion operator are introduced. Finally, the performance of the RGC algorithm is analyzed. A comparison with several known conceptual algorithms is presented. (C) 2002 Elsevier Science Ltd. All rights reserved.
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