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Alexander Nikov
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A fuzzy backpropagation algorithm
Stoeva S, Nikov A., Fuzzy Sets and Systems, 112 (1): 27-39, 2000.

  1. Ozbay Y, Ceylan R, Karlik B
    A fuzzy clustering neural network architecture for classification of ECG arrhythmias 
    COMPUTERS IN BIOLOGY AND MEDICINE 36 (4): 376-388 APR 2006

  2. Liu J, Liu D, Bai HY, et al.
    A new strategy for optimizing the parameters updating algorithm of fuzzy neural controller 
    SOFT COMPUTING 10 (1): 61-67 JAN 2006

  3. Yang J, Wu W, Shao ZQ
    A new training algorithm for a fuzzy perceptron and its convergence 
    LECTURE NOTES IN COMPUTER SCIENCE 3496: 609-614 2005
  4. Tsekouras G, Sarimveis H, Bafas G
    A simple algorithm for training fuzzy systems using input-output data
    ADV ENG SOFTW 34 (5): 247-259 JAN 2003

  5. Jones G, De Wilde P
    Comments on "A fuzzy backpropagation algorithm"
    FUZZY SET SYST 128 (1): 125-127 MAY 16 2002

  6. Tsekouras G, Sarimveis H, Raptis C, et al.
    A fuzzy logic approach for the classification of product qualitative characteristics
    COMPUT CHEM ENG 26 (3): 429-438 MAR 15 2002

  7. Nikov A, Stoeva S
    Quick fuzzy backpropagation algorithm
    NEURAL NETWORKS 14 (2): 231-244 MAR 2001

  8. Vakalis D.; Sarimveis H.1; Kiranoudis C.; Alexandridis A.; Bafas G, A GIS based operational system for wildland fire crisis management I. Mathematical modelling and simulation, Applied Mathematical Modelling 28(4):389-410, 2004

  9. Wu, M.; Chen, S.
    Diesel engine vibration signal prediction based on the combination neural networks.
    Jixie Gongcheng Xuebao (Chinese Journal of Mechanical Engineering) (China). Vol. 38, no. 4, pp. 144-147. Apr. 2002

Quick fuzzy backpropagation algorithm
Nikov A, Stoeva S., NEURAL NETWORKS
14 (2): 231-244 MAR 2001

  1. Yang J , W Wu, Z Shao, A new training algorithm for a fuzzy perceptron and its convergence 
    LECTURE NOTES IN COMPUTER SCIENCE 3496: 609-614 2005

  2. Stoeva S, Nikov A
    Comments on "A fuzzy backpropagation algorithm" - Author's reply
    FUZZY SET SYST 128 (1): 129-129
    MAY 16 2002

  3. Zaim Selim, Şevkli Mehmet, Tarim Mehveş,
    Fuzzy Analytic Hierarchy Based Approach For Supplier Selection
    Journal of Euromarketing, Vol. 12, No. 3-4, Nov. 2003, pp. 147 - 176

A METHODOLOGY FOR HUMAN-FACTORS ANALYSIS IN OFFICE AUTOMATION SYSTEMS
NIKOV A, MATARAZZO G, ORLANDO A
TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE
44 (2): 187-197 SEP 1993

  1. Bellini E., G.Panza, Beyond a Fit Approach to Strategic Human Resource Management: A holistion view on recruiting, training and competence development in ICT organizations, 17th NFF Conference Reykjavik , August 14-16, 2003
  2. Stoeva S, Nikov A
    A fuzzy backpropagation algorithm
    FUZZY SET SYST 112 (1): 27-39 MAY 16 2000

  3. Leone L, Matarazzo G
    Predicting the use and effectiveness of an office automation system (OAS): a case study
    BEHAV INFORM TECHNOL 17 (6): 361-371 NOV-DEC 1998

Karaca, F., A. Nikov and O. Alagha, NN-AirPol: a neural-networks-based method for air pollution evaluation and control, International Journal of Environment and Pollution, 28 (3/4):310 - 325, 2006.
  1. Ferhat Karaca, Omar Alagha, Ferruh Ertürk,Yusuf Ziya Yılmaz and Türkan Özkara, ATMOSPHERIC PM10 AND PM2.5 LEAD CONCENTRATIONS AND TEMPORAL VARIATIONS OVER A SUBURBAN SITE OFISTANBUL (TURKEY), Proceedings of the Third International Symposium on Air Quality Management at Urban,Regional and Glo, 1, 412-422, 09/2005
  2. Alexander Nikov, Ferhat Karacaa, Omar Alagha, Atakan Kurt and Hüseyin Hakkoymaz, AirPolTool: a Web-Based Tool for Istanbul Air Pollution and Control, Proceedings of the Third International Symposium on Air Quality Management at Urban, Regional and Gl, 1, 279-287, 09/2005
Kinshuk, A. Nikov and A. Patel, Adaptive tutoring in business education using fuzzy backpropagation approach, In Eds. Smith M.J., Salvendy G., Harris D. & Koubek R.J. "Usability Evaluation and Interface Design: Cognitive Engineering, Intelligent Agents and Virtual Reality", Lawrence Erlbaum Associates Inc. Publishers, London, Mahwah, New Jersey, 2001, 465-468.
  1. Capturing and disseminating the principles of self-regulated learning in an ontological framework
    J Shakya, VS Kumar - SW-EL workshop held in conjuction with KCAP - win.tue.nl
    Page 1. Capturing and Disseminating the Principles of Self-Regulated Learning
    in an Ontological Framework Jurika Shakya Vive Kumar ...
  2. Fuzzy Logic System for Students’ Evaluation - Gruppe von 2 »
    JA MONTERO, RM ALSINA, JA MORAN, M CID - Lecture notes in computer science - Springer
    Page 1. Fuzzy Logic System for Students’ Evaluation Jose Antonio Montero,
    Rosa Maria Alsina, Jose Antonio Moran, and Mariona Cid ..
  3. KNOWLEDGE ENGINEERING AND KNOWLEDGE DISSEMINATION IN A MIXED-INITIATIVE ONTOLOGICAL FRAMEWORK - Gruppe von 2 »
    J Shakya - 2005 - ir.lib.sfu.ca
    Page 1. KNOWLEDGE ENGINEERING AND KNOWLEDGE DISSEMINATION IN A MIXED-INITIATIVE
    ONTOLOGICAL FRAMEWORK Jurika Shakya BSc. (Comp. Sc ...
Alexander Nikov                                                                                                                                                                    Citations

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Revised: 11 June 2008