BSTU Laboratory of Artificial Neural Networks
 
p u b l i c a t i o n s

Intelligent Neural System for Autonomous Control of a Mobile Robot

  1. The monographies
    • V. Golovko Neural Networks : Theory and applications. Book 1 : Organisation and training of the neural networks.- BPI 1999, 260 p (in Russian language);
    • V. Golovko Neural Networks : Theory and applications. Book 2 : Self-organisation, fault tolerance and application of the neural networks.- BPI 1999, 227 p (in Russian language);

  2. V. A. Golovko, A. N. Klimovich, V. B. Gladyschuk Pre-processing of the sensors information for robustness control of the mobile robot.- Proceedings of the Second World Manufacturing Congress WMC'99. ICSC Academic Press 1999,p.362 - 367


  3. V. Dimakov, V. Golovko, K. Schilling, J. Pico Self-organizing optimal rout planning system for control of an autonomous mobile robot.- Proceedings of IEEE International Workshop on Intelligent Signal Processing WISP'99, Technical University of Budapest 1999,p.99- 103.


  4. V. Dimakov, V. Golovko The Neural Network of Best Path Planning.- Proceedings of International Conference on Information Technologies for Education, Science and Business, Minsk 1999, p. 220-222.


  5. V. Golovko, K. Schilling, R. Sadykhov, P. Albertos, V. Dimakov The architecture of the Neural System for Control of a Mobile Robot.- Proc. of the International Conference on Neural Networks and Artificial Intelligence, Brest 1999, p.57 - 61.


  6. V. Golovko Reactive Control of a Mobile Robot Based on Neural Networks.- Proc. of the International Conference on Neural Networks and Artificial Intelligence, Brest 1999, p.62 - 68.


  7. V. Dimakov Self-organizing system forming strategy for the global behaviour for control of an autonomous mobile robot.- Proc. of the International Conference on Neural Networks and Artificial Intelligence, Brest 1999, p.73 - 78.


  8. V. Dimakov The approach of shortest path planning problem solution on the basis of a neural.- Proc. of the International Conference on Neural Networks and Artificial Intelligence, Brest 1999, p.79 - 84.


  9. V. Golovko, A. Klimovich, K. Schilling, J. Pico Neural Networks for Reactive Control of the Mobile Robot.- Proceedings of IEEE International Workshop on Intelligent Signal Processing WISP'99, Technical University of Budapest 1999,p.310 - 315


  10. V. Golovko, V. Gladyschuk Recirculation neural network training for image processing.- Proceedings of the Sixth International Conference "Advanced Computer Systems" ACS'99, Szczecin 1999, p. 73-78.


  11. R. Sadykhov, A. Klimovich, O. Malenko Method of Spatial Map Forming for Autonomous Mobile Robot Control.- Proceedings of IEEE International Workshop on Intelligent Signal Processing, Budapest 1999, p. 242 - 245


  12. A. Ivkin, A. Doudkin, R. Sadykhov Architecture of Computer Vision Software System.- Proc. of the International Conference on Neural Networks and Artificial Intelligence, Brest 1999, p.173 - 177


  13. R. Sadykhov, A. Klimovich, O. Malenko Algorithms of Obstacle Detection for Autonomous Mobile Robot Control.- Proc. of the International Conference on Neural Networks and Artificial Intelligence, Brest 1999, p.106 - 109


  14. R. Sadykhov, A. Klimovich Models of the Neural Networks in the Problems of Mobile Robot Control.- Preprint No. 10, Institute of Engineering Cybernetics Minsk 1999 , 42 pages (in Russian)


  15. R. Sadykhov, R. Telyatnikov Algorithms for Training of Neural Networks on the Base of Properties of the Radial Basis Functions Pattern Identification.- Institute of Engineering Cybernetics Minsk 1999 , p. 58 - 64 (in Russian)


  16. A. Ivkin, A. Doudkin, R. Sadykhov Object Model of the Computer Vision System.- Proceedings of the Fith International Conference on Pattern Recognition and Information Processing, Vol.2, p.253-258 Minsk 1999 (in Russian)

Development of an Intelligent Sensing Instrumentation Structure I.S.I.S.

  1. Y. Savitsky, V. Golovko TRAINING OF THE RECURRENT NEURAL NETWORKS FOR PREDICTION.- Proceedings of Fifth International Conference "Pattern Recognition and Information Processing" PRIP'99, 18-20 May 1999, Minsk, Belarus,- pp. 248-253.


  2. V. Golovko, V. Gladyschuk, D. Nikolaychuk RECIRCULATION NETWORK TRAINING FOR IMAGE PROCESSING.- Proceedings of Fifth International Conference "Pattern Recognition and Information Processing" PRIP'99, 18-20 May 1999, Minsk, Belarus,- pp. 137-142.


  3. T. Laopoulos, V. Golovko, Y. Savitsky, A. Sachenko, L. Grandinetti ARCHITECTURE AND ADAPTIVE TRAINING ALGORITHMS OF THE RECURRENT NEURAL NETWORK.- Proceedings of International Conference "Information Technologies for Education, Science and Business" ITESB'99, 24-25 June 1999, Minsk, Belarus,- pp. 215-219.


  4. T. Laopoulos, V. Golovko, V. Gladyschuk, S. Markuzov, A. Sachenko, L. Grandinetti RECIRCULATION NEURAL NETWORK TRAINING FOR IMAGE COMPRESSION.- Proceedings of International Conference "Information Technologies for Education, Science and Business" ITESB'99, 24-25 June 1999, Minsk, Belarus,- pp. 55-59.


  5. V. Golovko, Y. Savitsky, A. Dunets, A. Sachenko, T. Laopoulos, L. Grandinetti MODIFICATIONS OF THE ARCHITECTURE AND TRAINING ALGORITHMS OF THE RECURRENT NEURAL NETWORK FOR TIME SERIES PREDICTION.- IEEE International Workshop on Intelligent Signal Processing WISP'99, 4-7 September 1999, Budapest, Hungary, - pp. 141-145.


  6. V. Golovko, A. Sachenko, T. Laopoulos, V. Gladyschuk, L. Grandinetti RULES OF THE RECIRCULATION NEURAL NETWORK TRAINING.- IEEE International Workshop on Intelligent Signal Processing WISP'99, 4-7 September 1999, Budapest, Hungary, - pp. 305-309.


  7. T. Laopoulos, V. Golovko, Y. Savitsky, A. Sachenko, L. Grandinetti THE RECURRENT NEURAL NETWORKS ARCHITECTURES AND ADAPTIVE TRAINING ALGORITHMS FOR TIME SERIES PREDICTION.- Proceedings of the 9-th World Conference on Titanium, 7-11 June 1999, St. Peterburg, Russia,- p. 13.


  8. V. Golovko, V. Gladyschuk RECIRCULATION NEURAL NETWORK TRAINING FOR IMAGE PROCESSING.- Proceedings of the Sixth International Conference "Advanced Computer Systems" ACS'99, 18-19 November 1999, Szczecin, Poland, -pp. 73-78.


  9. V. Golovko, Y. Savitsky, A. Dunets, A. Sachenko, T. Laopoulos, L. Grandinetti NEURAL NETWORK SYSTEM FOR TIME SERIES PREDICTION.- Proceedings of the Sixth International Conference "Advanced Computer Systems" ACS'99, 18-19 November 1999, Szczecin, Poland, -pp. 223-227.


  10. V. Golovko NEURAL NETWORKS: THEORY AND APPLICATION. BOOK 1. ORGANIZATION AND TRAINING OF THE NEURAL NETWORKS.- BPI, 1999, - 260p. (Russian)


  11. V. Golovko NEURAL NETWORKS: THEORY AND APPLICATION. BOOK 2. SELF-ORGANIZATION, FAULT-TOLERANCE AND APPLICATION OF THE NEURAL NETWORKS.- BPI, 1999, - 227p. (Russian)


  12. V. Golovko, Y. Savitsky NEW APPROACH OF THE RECURRENT NEURAL NETWORK TRAINING.- Proceedings of the International Conference on Neural Networks and Artificial Intelligence ICNNAI'99, 12-15 October 1999, Brest, Belarus, - pp. 32-35


  13. V. Golovko, A. Dunets, Y. Savitsky THE TRAINING OF FEEDFORWARD NEURAL NETWORKS.- Proceedings of the International Conference on Neural Networks and Artificial Intelligence ICNNAI'99, 12-15 October 1999, Brest, Belarus, - pp. 36-38


  14. V. Golovko, Y. Savitsky, A. Sachenko, V. Kochan, V. Turchenko, T. Laopoulos, L. Grandinetti INTELLIGENT SYSTEM FOR PREDICTION OF SENSOR DRIFT.- Proceedings of the International Conference on Neural Networks and Artificial Intelligence ICNNAI'99, 12-15 October 1999, Brest, Belarus, - pp. 126-135


  15. V. Golovko, Y. Savitsky, T. Laopoulos, A. Sachenko, L. Grandinetti TECHNIQUE OF LEARNING RATE ESTIMATION FOR EFFICIENT TRAINING OF MLP.- Proceedings of the International Joint Conference on Neural Networks IJCNN'2000, July 2000, Como, Italy


  16. V. Golovko, O. Ignatiuk, Y. Savitsky, T. Laopoulos, A. Sachenko, L. Grandinetti UNSUPERVISED LEARNING FOR DIMENSIONALITY REDUCTION.- Proc. of Second Int. ICSC Symposium on Engineering of Intelligent Systems EIS'2000, University of Paisley, Scotland, U.K. - 2000.


  17. V. Golovko, Y. Savitsky, T. Laopoulos, A. Sachenko, L. Grandinetti EFFICIENT TRAINING OF MLP WITH TRAINING STEP RATE ESTIMATION.- Proceedings of the International Conference ISCI'2000


  18. A.Sachenko, V.Kochan, V.Turchenko, V.Tymchyshyn, N.Vasylkiv INTELLIGENT NODES FOR DISTRIBUTED SENSOR NETWORK.- Proceedings of the 16th IEEE Instrumentation and Measurement Technology Conference, Venice, Italy - May 24-26, 1999, vol. 3, pp.1479-1484.


  19. A.Sachenko, V.Kochan, V.Turchenko, N.Vasylkiv INTELLIGENT SYSTEM OF TEMPERATURE MEASUREMENT.- Abstracts of the 7th International Symposium on Temperature and Thermal Measurements in Industry and Science TEMPMEKO'99, Delft, the Netherlands, 1-3 June 1999, p.88.


  20. V.Golovko, L.Grandinetti, V.Kochan, T.Laopoulos, A.Sachenko, V.Turchenko, V.Tymchyshyn APPROACH OF AN INTELLIGENT SENSING INSTRUMENTATION STRUCTURE DEVELOPMENT.- Proceedings of the IEEE International Workshop on Intelligent Signal Processing, Budapest, Hungary, 4-7 September, 1999, pp.336-341.


  21. A.Sachenko, V.Kochan, V.Turchenko, V.Golovko, T.Laopoulos USING NEURAL NETWORKS FOR DECREASING ADC ERROR.- Proceedings of 4th IMEKO International Workshop on ADC Modelling and Testing, Bordeaux, France, September 9-10, 1999, pp.78-81.


  22. V.Golovko, L.Grandinetti, V.Kochan, T.Laopoulos, A.Sachenko, V.Turchenko SENSOR SIGNAL PROCESSING USING NEURAL NETWORKS.- Proceedings of the IEEE Region 8 International Conference Africon'99, Cape Town, South Africa, September 29-October 1, 1999, pp.345-350.


  23. A.Sachenko, V.Kochan, V.Turchenko, V.Koval DATA FUSION ALGORITHM IN INTELLIGENT DISTRIBUTED SENSOR NETWORK.- Proceedings of the International Conference on Neural Networks and Artificial Intelligence ICCNAI'99, Brest, Belarus, October 12-15, 1999, pp.136-141.


  24. A.Sachenko, V.Kochan, V.Turchenko, T.Laopoulos, V.Golovko, L.Grandinetti FEATURES OF INTELLIGENT DISTRIBUTED SENSOR NETWORK HIGHER LEVEL DEVELOPMENT.- Proceedings of the 17th IEEE Instrumentation and Measurement Technology Conference IMTC/2000, Baltimore, USA, May 1-4, 2000, pp. 335-340.


  25. A.Sachenko, V.Kochan, V.Turchenko SENSOR DRIFT PREDICTION USING Neural Networks, Proceedings of the International Workshop on Virtual and Intelligent Measurement Systems VIMS'2000, Annapolis, USA, April 29-30, 2000, pp. 88-92.

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