A novel approach to predict stock market price using radial basis function network-Reference-Cited by-同舟云学术

A novel approach to predict stock market price using radial basis function network

Published:2019-11-07 Issue:6 Volume:13 Page:2277-2285
ISSN:2511-2104
Container-title:International Journal of Information Technology
language:en
Short-container-title:Int. j. inf. tecnol.

Author:

Kumar Rajesh^ORCID,Srivastava Shefali,Dass Anuli,Srivastava Smriti

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Networks and Communications,Computer Science Applications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s41870-019-00382-y.pdf

Reference25 articles.

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3. Kumar R, Srivastava S, Gupta J, Mohindru A (2018) Diagonal recurrent neural network based identification of nonlinear dynamical systems with lyapunov stability based adaptive learning rates. Neurocomputing 287:102–117

4. Majhi R, Panda G, Sahoo G, Panda A, Choubey A (2008) Prediction of s&p 500 and DJIA stock indices using particle swarm optimization technique. In: 2008 IEEE world congress on computational intelligence. IEEE, pp 1276–1282

5. Huang W, Nakamori Y, Wang S-Y (2005) Forecasting stock market movement direction with support vector machine. Comput Oper Res 32(10):2513–2522

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