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Publikacje

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Rok: 2013

  • M. Gabryel, R. K. Nowicki, M. Wo'zniak i W. M. Kempa. "", Genetic Cost Optimization of the GI/M/1/N Finite-Buffer Queue with a Single Vacation Policy, Rutkowski et al (Eds.), Springer Berlin Heidelberg, Berlin, Heidelberg 2013, pp. 12-23. Więcej [Link]
  • B. A. Nowak, R. K. Nowicki i W. Mleczko, "A New Method of Improving Classification Accuracy of Decision Tree in Case of Incomplete Samples", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2013, pp. 448-458. Więcej [Link]
  • M. Wo'zniak, Z. Marszalek, M. Gabryel i R. K. Nowicki. "", Modified Merge Sort Algorithm for Large Scale Data Sets, Rutkowski et al (Eds.), Springer Berlin Heidelberg, Berlin, Heidelberg 2013, pp. 612-622. Więcej [Link]
  • B. Nowak, R. Nowicki i W. Mleczko, "A New Method of Improving Classification Accuracy of Decision Tree in Case of Incomplete Samples", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2013, pp. 448-458. Więcej [Link]
  • L. Pietruczuk, P. Duda i M. Jaworski, "Adaptation of Decision Trees for Handling Concept Drift", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2013, pp. 459-473. Więcej [Link]

Rok: 2012

  • P. Najgebauer, T. Nowak, J. Romanowski, J. Rygał, M. Korytkowski i R. Scherer. "Novel Method for Parasite Detection in Microscopic Samples". 2012. Więcej
  • M. Zalasiński i K. Cpałka. "Novel algorithm for the on-line signature verification", Lecture Notes in Artificial Intelligence. 2012, pp. 362-367. Więcej
  • A. Przybył i K. Cpałka. "A new method to construct of interpretable models of dynamic systems", Lecture Notes in Artificial Intelligence. 2012, pp. 697-705. Więcej
  • L. Rutkowski, A. Przybył i K. Cpałka. "Novel on-line speed profile generation for industrial machine tool based on flexible neuro-fuzzy approximation", IEEE Transactions on Industrial Electronics, vol. 59. 2012, pp. 1238-1247. Więcej
  • B. A. Nowak i R. Nowicki. "Learning in rough-neuro-fuzzy system for data with missing values", Lecture Notes in Computer Science, vol. 7203. 2012, pp. 501-510. Więcej [Link]
  • L. Bartczuk, P. Dziwi'nski i J. Starczewski. "A new method for dealing with unbalanced linguistic term set". Artificial Intelligence and Soft Computing. 2012. pp. 207-212. Więcej
  • P. Dziwi'nski, L. Bartczuk i J. T. Starczewski, "Fully controllable ant colony system for text data clustering", Swarm and Evolutionary Computation, Springer, 2012, pp. 199-205. Więcej
  • M. Gabryel, M. Wo'zniak i R. K. Nowicki. "", Creating Learning Sets for Control Systems Using an Evolutionary Method, Rutkowski et al (Eds.), Springer Berlin Heidelberg, Berlin, Heidelberg 2012, pp. 206-213. Więcej [Link]
  • B. Nowak i R. Nowicki, "Learning in Rough-Neuro-Fuzzy System for Data with Missing Values", Parallel Processing and Applied Mathematics, Wyrzykowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 501-510. Więcej [Link]
  • M. WoŸniak, M. Gabryel i R. K. Nowicki. "Simulation of the characteristics of the ball movement on a beam by the use of genetic algorithm", Zeszyty naukowe Politechniki Œl¹skiej, vol. 2. 2012, pp. 19-33. Więcej
  • M. Jaworski i M. Gabryel, "On Learning in a Time-Varying Environment by Using a Probabilistic Neural Network and the Recursive Least Squares Method", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 99-110. Więcej [Link]
  • M. Jaworski, L. Pietruczuk i P. Duda, "On Resources Optimization in Fuzzy Clustering of Data Streams", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 92-99. Więcej [Link]
  • M. Jaworski, P. Duda i L. Pietruczuk, "On Fuzzy Clustering of Data Streams with Concept Drift", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 82-91. Więcej [Link]
  • M. Jaworski, M. Er i L. Pietruczuk, "On the Application of the Parzen-Type Kernel Regression Neural Network and Order Statistics for Learning in a Non-stationary Environment", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 90-98. Więcej [Link]
  • P. Duda, M. Jaworski i L. Pietruczuk, "On Pre-processing Algorithms for Data Stream", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 56-63. Więcej [Link]
  • L. Pietruczuk i M. J. Er. "Weak Convergence of the Parzen-type Probabilistic Neural Network Handling Time-varying Noise". Proceedings of the 11th International Conference on Artificial Intelligence and Soft Computing - Volume Part I. 2012. pp. 152-159. Więcej [Link]
  • L. Pietruczuk i Y. Hayashi, "Strong Convergence of the Recursive Parzen-Type Probabilistic Neural Network Handling Nonstationary Noise", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 160-168. Więcej [Link]
  • L. Pietruczuk, P. Duda i M. Jaworski, "A New Fuzzy Classifier for Data Streams", Artificial Intelligence and Soft Computing, Rutkowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 318-324. Więcej [Link]
  • M. Jaworski i Y. Hayashi, "On the Application of the Parzen-Type Kernel Probabilistic Neural Network and Recursive Least Squares Method for Learning in a Time-Varying Environment", Parallel Processing and Applied Mathematics, Wyrzykowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 490-500. Więcej [Link]
  • M. Jaworski i M. Er, "Learning in a Non-stationary Environment Using the Recursive Least Squares Method and Orthogonal-Series Type Regression Neural Network", Parallel Processing and Applied Mathematics, Wyrzykowski et al (Eds.), Springer Berlin Heidelberg, 2012, pp. 480-489. Więcej [Link]
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