The paper introduces accuracy boosting extension to a novel induction of fuzzy rules from raw data using Artificial Immune System methods. Accuracy boosting relies on fuzzy partition learning. The performance, in term...
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The paper introduces accuracy boosting extension to a novel induction of fuzzy rules from raw data using Artificial Immune System methods. Accuracy boosting relies on fuzzy partition learning. The performance, in terms of classification accuracy, of the proposed approach was compared with traditional classifier schemes: C4.5, Naïve Bayes, K, Meta END, JRip, and Hyper Pipes. The result accuracy of these methods are significantly lower than accuracy of fuzzy rules obtained by method presented in this study (paired t-test, P
Learning Classifier Systems (LCSs) have gained increasing interest in the genetic and evolutionary computation literature. Many real-world problems are not conveniently expressed using the ternary representation typic...
Information sharing, exchanging and archiving is the backbone of any organized activity, regardless if it is performed in the sphere of business, home or administration. Semantic Web technologies allow controlling the...
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One of the most important characteristics of Wireless Sensor Networks is energy efficiency. Exhausted batteries cannot be easily replaced and cause connectivity problems and reduced network life. Therefore it is cruci...
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The paper introduces speed boosting extension to a novel induction of fuzzy rules from raw data using Artificial Immune System methods. An improved approach uses a efficient initial population generation method. The s...
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In the paper we show a new three-stage algorithm identifying the Hammerstein system nonlinearity. The algorithm is designed to work when a poor a priori knowledge is available and when the measurement data set is smal...
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When developing new protocols for Wireless Sensor Networks (WSN) the ability to observe generated wireless traffic and inspect packets sent between sensor nodes is a crucial part of the process. In this work a new met...
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Recognizing bacterial promoters is an important step towards understanding gene regulation. In this paper, we address the problem of predicting the location of promoters and their transcription start sites (TSSs) in E...
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This paper presents a mathematical model, the theoretical basis and an outline of a computer module system supporting scheduling of transportation and assembly of composite beam bridge structures implemented in the ju...
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