A Perceiving and Recognizing Automaton Prediction for Stock Market

Authors

  • Om Prakash Tere Student, Department of Civil Engineering, Dr. D.Y. Patil College of Engineering, Pmpri, Pune, India
  • Domesh Kshatriya Guide, Department of Civil Engineering, Dr. D.Y. Patil College of Engineering, Pmpri, Pune, India

DOI:

https://doi.org/10.54741/asejar.2.2.4

Keywords:

back-propogation, artificial neural network, stock-market prediction

Abstract

The skill of forecasting the value of a company's equity on the stock market In order to forecast stock market prices, this research suggests a machine-learning (ML) artificial neural network model. The back-propogation algorithm is integrated into the suggested algorithm. Here, we use the back-propogation algorithm to train our ANN network model. Additionally, we conducted research using the TESLA dataset for this publication.

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References

Palavi Ranka. (2019). Stock market prediction using artificial neural networks. IME611 - Financial Engineering Indian Institute of Technology, Kanpur (208016), India.

Rosenblatt, F. (1997). The perceptron: A perceiving and recognizing automaton. Cornell Univ. Ithaca. NY. Project PARA Cornell Aeronaut Lab, pp. 85-460.

Mandic, D. P., & Chambers, J. A. (2001). Recurrent neural networks for prediction. John Wiley & Sons, LTD.

Goh, T. H., Wang, P. Z., & Lui, H. C. (1992). Learning algorithm for enhanced fuzzy perceptron. Proceedings of IJCNN, 2, pp. 435.

Lippmann, R.P. (1987). An introduction to computing with neural nets. IEEE Accost. Speech Signal Process. Mag., pp. 4-22.

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Published

2023-03-31

How to Cite

Om Prakash Tere, & Domesh Kshatriya. (2023). A Perceiving and Recognizing Automaton Prediction for Stock Market. Applied Science and Engineering Journal for Advanced Research, 2(2), 19–25. https://doi.org/10.54741/asejar.2.2.4

Issue

Vol. 2 No. 2 (2023): March Issue

Section

Articles

License

Copyright (c) 2023 Om Prakash Tere, Domesh Kshatriya

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.