Federated Learning Enhanced MLP–LSTM Modeling in an Integrated Deep Learning Pipeline for Stock Market Prediction

Abstract In this study, the research presents the Federated Learning Enhanced Multi-Layer Perceptron (Fed-MLP) Long Short-Term Memory that is suggested by the research. The research intends to use the LSTM networks extensively that are proficient in spatial dependence capturing and integrate them wi...

وصف كامل

التفاصيل البيبلوغرافية

المؤلفون الرئيسيون:	Jayaraman Kumarappan, Elakkiya Rajasekar, Subramaniyaswamy Vairavasundaram, Ketan Kotecha, Ambarish Kulkarni
التنسيق:	Artigo
اللغة:	Inglês
منشور في:	Springer 2024-10-01
سلاسل:	International Journal of Computational Intelligence Systems
الموضوعات:	Stock market now casting and forecasting Imputation method MLP feature extraction Principal component analysis Long short-term memory
الوصول للمادة أونلاين:	https://doi.org/10.1007/s44196-024-00680-9
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!