On the Quasi-Newton Training Method for Feed-Forward Neural Networks


Цветков, Димитър (2004) On the Quasi-Newton Training Method for Feed-Forward Neural Networks Internaional Conference on Computer Systems and Technlologies – CompSysTech'2004.


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Природни науки, математика и информатика Математика
Природни науки, математика и информатика Информатика и компютърни науки

Natural sciences, mathematics and informatics Mathematics
Natural sciences, mathematics and informatics Informatics and Computer Science

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 Димитър Цветков

7. Luma N. M. Tawfiq Yaseen A. Oraibi. Fast Training Algorithms for Feed Forward Neural Networks. Ibn Al-Haitham Journal For Pure And Applied Science. Vol. 26 (1) 2013.

8. Luma N. M. Tawfiq, Yaseen A. Oraibi. Fast Training Algorithms for Feed Forward Neural Networks Ibn Al-Haitham Jour. for Pure & Appl. Sci., Vol. 26 (1) 2013.

9. Luma.N. M. Tawfiq and Yusor. R. B. Al-Mayouf. The Efficiency of Feed Forward Neural Network to Metrifying Doses of the Antihistamine Medication. International Journal of Modern Biology and Medicine, 2013, 4(2): 71-84

5. L. N. M. Tawfiq and Y. R. B. Al-Mayouf. Design Feed Forward Neural Network to Determine Doses of the Decongestant for Cold Pills Ibn Al-Haitham Jour. for Pure & Appl. Sci., Vol. 25 (3) 2012.

6. L. N. M. Tawfiq and Y. R. B. Al-Mayouf. Design Feed Forward Neural Network to Determine Doses of the Decongestant for Cold Pills. Ibn Al-Haitham Journal For Pure And Applied Science. Vol. 25 (3) 2012.

4. Peyghami MR, Khanduzi R (2011) A hybrid model based on neural network and hybrid genetic algorithm for automotive price forecasting. Int J Appl Math Comput 3(1).

2. Horng, S . C . & Lin, S.S . (2009). An ordinal optimization theory based algorithm for a class of simulation optimization problems and application. Expert Systems with Applications, 36 (5), 9340 - 9349.

3. Horng, S.-C., Man, G.-L. Application of ordinal optimization to stochastic classical job shop scheduling problem (2009) Proceedings - 2009 IEEE International Conference on Intelligent Computing and Intelligent Systems, ICIS 2009, 1, art. no. 5357797, pp. 476-480.

1. H. Früh, P. Keller, T. Perucchi, Intelligent Mobile Manipulators in Industrial Applications: Experiences and Challenges, Lecture Notes in Computer Science, vol. 4850, pp. 370-385, 2007.

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