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Research Article

Performance of Momentum Dynamics of Artificial Neural Network in Deep learning neural networks

Madhav Sharma1
Research Scholar, Computer Science & Engineering Department, Jagannath University, Jaipur, India.

Published Online: July-August 2022

Pages: 101-105

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References

[1]. J. Mantas, \An overview of character recognition methodologies," Pattern Recognition, vol. 19, no. 6, pp. 425 { 430, 1986.
[2]. T. S. El-Sheikh and R. M. Guindi, \Computer recognition of arabic cursive scripts," Pattern Recognition, vol. 21, no. 4, pp. 293 { 302,
[3]. C. Tappert, C. Suen, and T. Wakahara, \The state of the art in online handwriting recognition," Pattern Analysis and Machine
Intelligence, IEEE Transactions on, vol. 12, pp. 787 {808, Aug. 1990.
[4]. R. Bozinovic and S. Srihari, \O_-line cursive script word recognition," Pattern Analysis and Machine Intelligence, IEEE Transactions
on, vol. 11, pp. 68 {83, Jan. 1989.
[5]. V. Govindan and A. Shivaprasad, \Character recognition { a review," Pattern Recognition, vol. 23, no. 7, pp. 671 { 683, 1990.
[6]. Q. Tian, P. Zhang, T. Alexander, and Y. Kim, \Survey: omnifont-printed character recognition," in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference Series (K.-H. Tzou & T. Koga, ed.), vol. 1606 of Society of Photo-Optical Instrumentation
Engineers (SPIE) Conference Series, pp. 260{268, Nov. 1991.

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