منابع مشابه
Computer and Information Science, ISSN 1913-8989, Vol. 1, No. 1, February 2008
The main goal of the presented work is to analyse the performance of the Multi-Layer Perceptron (MLP) neural network for flow regime classification based on sets of simulated Electrical Capacitance Tomography (ECT) data. Normalised ECT data have been used to separately train several MLPs employing various commonly used back-propagation learning algorithms, namely the Levenberg-Marquardt (LM), Q...
متن کاملComputer and Information Science, ISSN 1913-8989, Vol. 1, No. 1, February 2008
This work implements an enhanced Bayesian classifier with better performance as compared to the ordinary naïve Bayes classifier when used with domains and datasets of varying characteristics. Text classification is an active and on-going research field of Artificial Intelligence (AI). Text classification is defined as the task of learning methods for categorising collections of electronic text ...
متن کاملComputer and Information Science, ISSN 1913-8989, Vol. 1, No. 1, February 2008
On the basis of different expert knowledge structure, from the greatest factors in power limiting distribution, using the method combining Analytical Hierarchy Process (AHP) and fuzzy set theory, a fuzzy comprehensive group decision model for multi-objects and multi-zones power limiting distribution in peak load shifting is built up. The problem of power limiting distribution between multi-zone...
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ژورنال
عنوان ژورنال: Computer and Information Science
سال: 2008
ISSN: 1913-8997,1913-8989
DOI: 10.5539/cis.v1n3p0