Effectiveness of stochastic neural network for prediction of fall or rise of TOPIX

DOI10.1007/S10690-005-6010-4zbMATH Open1086.68568OpenAlexW2073197464MaRDI QIDQ816773

Ritei Shibata, Shigeo Kamitsuji

Publication date: 23 February 2006

Published in: Asia-Pacific Financial Markets (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10690-005-6010-4

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

• Effectiveness of stochastic neural network for prediction of fall or rise of TOPIX
• On the profitability of technical trading rules based on artificial neural networks: Evidence from the Madrid stock market
• Generalized autoregressive conditional heteroscedasticity
• Unnamed Item

Related Items (3)

An impulsive delay discrete stochastic neural network fractional-order model and applications in finance ⋮ A novel call admission control policy using mobility prediction and throttle mechanism for supporting QoS in wireless cellular networks ⋮ Effectiveness of stochastic neural network for prediction of fall or rise of TOPIX

This page was built for publication: Effectiveness of stochastic neural network for prediction of fall or rise of TOPIX