A Hybrid Neural Network Model to Forecast Arrival Guest in Malaysia

Hila, N Z; L, Muhamad Safiih; Shaharudin, Shazlyn Milleana; Mohamed, Norizan

doi:10.1109/aidas47888.2019.8970778

Search citation statements

Order By: Relevance

Paper Sections

Select...

Results1

Introduction1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2021

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(2 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The conventional and Islamic stock data have been widely studied with enormous concepts of linear and nonlinear time series models, including family of ARIMA and neural network [5,8]. In order to apply the ARIMA model in these two stock data, the daily returns are tested for best-fitted estimation.…”

Section: Resultsmentioning

confidence: 99%

“…The nonlinear mapping structure of the neural network could overcome the nonlinear component in ARIMA. In this case, the nonlinear relationship structure and random characteristic of the stock prices [4,5,8] contribute to this matter. However, nonlinear mapping structure in neural network system inherent generated bias within each hidden layer and output layer [9,10,11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation