Neural Fuzzy Inference Hybrid System with Support Vector Machine for Identification of False Singling in Stock Market Prediction for Profit Estimation-Reference-Cited by-同舟云学术

Neural Fuzzy Inference Hybrid System with Support Vector Machine for Identification of False Singling in Stock Market Prediction for Profit Estimation

Published:2020-07-11 Issue: Volume: Page:221-227
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Singh Bhupinder,Henge Santosh Kumar

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-51156-2_27

Reference12 articles.

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2. Do, Q., Trang, T.V.: Forecasting Vietnamese stock index a comparison of hierarchical ANFIS and LSTM. Decis. Sci. Lett. 9(2), 193–206 (2020)

3. Nai, B.B., Minuvarthini, M., Sujithra, B, Mohandas, V.P.: Stock market prediction using a hybrid neuro-fuzzy system. In: International Conference on Advances in Recent Technologies in Communication and Computing, pp. 243–247. IEEE (2010)

4. Nayak, S.C., Misra, B.B.: A chemical-reaction-optimization-based neuro-fuzzy hybrid network for stock closing price prediction. Financ. Innov. 5, 38 (2019)

5. Pahwa, K., Agarwal, N.: Stock market analysis using supervised machine learning. In: International Conference on Machine Learning, Big Data, Cloud and Parallel Computing (Com-IT-Con), India, 14–16 February 2019. IEEE (2019). 978-1-7281-0211-5/19. https://doi.org/10.1109/comitcon.2019.8862225

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