International Journal of Innovative Research in Engineering and Management
Year: 2020, Volume: 8, Issue: 3
First page : ( 126) Last page : ( 130)
Online ISSN : 2350-0557.
DOI: 10.21276/ijircst.2020.8.3.16 |
DOI URL: https://doi.org/10.21276/ijircst.2020.8.3.16
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (CC BY 4.0) (http://creativecommons.org/licenses/by/4.0)
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Shalini Bhaskar Bajaj
Artificial Neural Networks (ANN) has a number of application areas ranging from economic analysis to image processing and recognition. ANN is used by many online stores in the form of recommendation systems to offer suitable products based on their liking. Not only this, artificial neural networks are used these days for routing and navigation systems as in case of unmanned vehicles, antivirus softwares, etc. In this work based on artificial neural network recurrent and convolutional network is proposed at the level of letters in order to classify and sort textual information with given classes.
[1] Kaiming He ; Xiangyu Zhang ; Shaoqing Ren ; Jian Sun, Deep Residual Learning for Image Recognition, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, 2016.
[2] Andrej Krenker, Janez BesÌŒter and Andrej Kos, Introduction to the Artificial Neural Networks , Artificial Neural Networks - Methodological Advances and Biomedical Applications
[3] Zhongqiang Zhang, Stochastic Processes, Springer, 2016, MA 529
[4] N. Srivastava, G. Hinton, A. Krizhevsky, I. Sutkever, R. Salakhutdinov, Droupout: A simple way to prevent neural networks from overfitting, Journal of Machine Learning Research, vol. 15, (2014), pp. 1929-1958
[5] Tomas Mikolov, Kai Chen, Greg Corrado, Jeffrey Dean, Efficient Estimation of Word Representations in Vector Space, Computation and Language, Cornell University, arXiv:1301.3781
[6] Yoon Kim, Convolutional Neural Networks for Sentence Classification, Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), Doha, Qatar
[7] Rafal Jozefowicz, Oriol Vinyals, Mike Schuster, Noam Shazeer, Yonghui Wu, Exploring the Limits of Language Modeling, Computation and Language, Cornell University, arXiv:1602.02410
[8] Klaus Greff, Rupesh Kumar Srivastava, Jan Koutník, Bas R. Steunebrink, Jürgen Schmidhuber, LSTM: A Search Space Odyssey, Neural and Evolutionary Computing, Cornell University, arXiv:1503.04069
[9] Siwei Lai, Liheng Xu, Kang Liu, Jun Zhao, Recurrent Convolutional Neural Networks for Text Classification, Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015, pp. 2267-2273
[10] Jiaming Xu, Peng Wang, Guanhua Tian, Bo Xu, Jun Zhao, Fangyuan Wang, Hongwei Hao, Short Text Clustering via Convolutional Neural Networks, Proceedings of the 1st Workshop on Vector Space Modeling for Natural Language Processing, June 2015, pp. 62-69
[11] Yin Zhang, Rong Jin, Zhi-Hua Zhou, Understanding bag-of-words model: a statistical framework, International Journal of Machine Learning and Cybernetics volume 1, pages43–52(2010)
[12] Yann LeCun Leon Bottou Yoshua Bengio and Patrick Haner, GradientBased Learning Applied to Document Recognition, Proceedings of the IEEE, November 1998
[13] X. Chen ; X. Liu ; M. J. F. Gales ; P. C. Woodland, Recurrent neural network language model training with noise contrastive estimation for speech recognition, 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Brisbane, QLD, Australia
[14] Matthew D. Zeiler, ADADELTA: An Adaptive Learning Rate Method, Machine Learning (2012), Cornell University, arXiv:1212.5701
[15] Dumitru Erhan, Pierre-Antoine Manzagol, Yoshua Bengio, Samy Bengio and Pascal Vincent, The Difficulty of Training Deep Architectures and the Effect of Unsupervised Pre-Training, Proceedings of the 12th International Conference on Artificial Intelligence and Statistics (AISTATS) 2009, Clearwater Beach, Florida, USA. Volume 5 of JMLR: W&CP 5
[16] Pierre Baldi, Kurt Hornik, Neural Networks and Principal Component Analysis: Learning from Examples Without Local Minima, Neural Networks, Vol. 2, pp. 53-58, 1989
[17] Sergey Ioffe, Christian Szegedy, Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift, Proceedings of the 32 nd International Conference on Machine Learning, Lille, France, 2015. JMLR: W&CP volume 37
[18] Yadav, Neha, Yadav, Anupam, Kumar, Manoj, An Introduction to Neural Network Methods for Differential Equations, SpringerBriefs in Computational Intelligence, Springer, 2015
[19] I. V. Zaentsev, Neural Network: Basic Models
[20] https://cs231n.github.io/
[21] http://www.aiportal.ru/articles/neural-networks/ decision- xor.html
[22] https://malaikannan.wordpress.com/2016/09/13/cross-entropy/
[23] https://en.wikipedia.org/wiki/Overfitting
[24] https://habr.com/en/post/175819/
[25] http://www.nanonewsnet.ru/articles/2016/kak-obuchae tsya-ii
[26] https://geektimes.ru/post/74326/
[27] http://deeplearning.net/tutorial/lenet.html
[28] http://www.360doc.com/content/16/0303/19/ 2459_53 9162206.shtml
[29] http://colah.github.io/posts/2014-07-Understanding-C onvolutions/
[30] https://www.google.com/url?sa=i&url=https%3A%2F %2 Fautomaticaddison.com%2Fartificial-feedforward-neural-network-with-backpropagation-from-scratch%2 F&psig=AOvVaw2jvJzDQ-fHIedy5qd-IgRz&us t=1 590387947314000& source=images &cd=vfe& ved=0 CAQQtaYDahcKEwjYhorr9MvpAhUAAAAAHQAA A A AQEA
[31] https://www.google.com/url?sa=i&url=https%3A% 2F %2Fwww.researchgate.net%2Ffigure%2F15x15-Pixel -Labelled-Sample-Images-After-Image-Creation-Phase _fig4_324802031&psig=AOvVaw3_PZaA1ZZ7sII1cOssimWn&ust=1590388321832000&source=images&cd=vfe&ved=0CAMQjB1qFwoTCMDSldDwy-kCFQ AAAAAdAAAAABAR
Professor, Department of Computer Science and Engineering, Amity University Haryana, Gurugram, India, (e-mail: shalinivimal@gamil.com).
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