Advantages of direct input-to-output connections in neural networks : the Elman network for stock index forecasting

Advantages of direct input-to-output connections in neural networks : the Elman network for stock index forecasting

The Elman neural network (ElmanNN) is well-known for its capability of processing dynamic information, which has led to successful applications in stock forecasting. In this paper, we introduce direct input-to-output connections (DIOCs) into the ElmanNN and show that the proposed Elman neural networ...

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Bibliographic Details
Main Authors: Wang, Yaoli, Wang, Lipo, Yang, Fangjun, Di, Wenxia, Chang, Qing
Other Authors: School of Electrical and Electronic Engineering
Format: Journal Article
Language:English
Published: 2021
Subjects:
Engineering::Electrical and electronic engineering
Direct Input-To-Output Connections
The Elman Neural Network
Online Access:https://hdl.handle.net/10356/154501

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