Skip to content

Latest commit

 

History

History
86 lines (62 loc) · 2.38 KB

note.md

File metadata and controls

86 lines (62 loc) · 2.38 KB

Paper Notes

Paper title

  1. A comparative study of multi-layer neural network and the coral reefs optimization modeling in time series prediction
  2. The coral reefs optimization and multi-layer neural network model for forecasting time series
  3. Applying The coral reefs optimization and multi-layer neural network to Time Series Predictable
  4. Time series prediction with multi-layer neural networks trained by the coral reefs optimization algorithm
  5. Using The coral reefs optimization and multi-layer neural network for time series prediction
  6. Forecasting Time series models using multi-layer neural network and the coral reefs optimization algorithm

Paper structure

Abstract

  1. Introduction
  2. Related Work
  • Time series prediction using Feed-forward NN, Multi-Layer NN and show the drawbacks
  • Time series prediction using RNN and LSTM and show the drawbacks
  • The Global Optimization of GA Algorithm in MLNN and show the drawbacks
  • The Coral Reefs applications and the advantages
  • Our contributions

  1. Coral Reefs Optimization Multi-layer Neural Network 3.1 - CRO hoặc biến thể của CRO 3.2 - MLNN 3.3 - CRO-MLNN for time series forecasting

  2. Experiments 4.1 Setup a - Dataset:

    • Univariate : Worldcup 5minute, Traffic EU and UK 5m,
    • Multivariate: CPU and RAM in Google Trace b - Method :
    • Accuracy : RMSE, MAE, MAPE
    • Speed: Time (second/epoch), Total time (second) c - Parameters settings for Models and Algorithms
  • MLNN (1 Hidden Layer)
  • GA-MLNN
  • CRO-MLNN
  • RNN (1 HL)
  • LSTM (1 HL, 2 HL)

4.2 Results and Dicussion a. Worldcup 5m + Accuracy + Speed b. Traffic EU and UK 5m + Accuracy + Speed c. CPU and RAM in google trace + Accuracy + Speed

  1. Conclusion

Acknowledgment References

Journal

3. International Journal of Computational Intelligence Systems (IJCIS) 
Link: https://www.atlantis-press.com/journals/ijcis
Latex template: 
	+ https://www.atlantis-press.com/journals/ijcis/author-guidelines
	
2. Memetic Computing (algo is not very memetic, no-review)
Link: https://link.springer.com/journal/12293

1. JCSS (out-of-scope no-review)
Link: https://www.journals.elsevier.com/journal-of-computer-and-system-sciences
Latex template: 
	+ https://www.elsevier.com/authors/author-schemas/latex-instructions
	+ https://www.elsevier.com/journals/journal-of-computer-and-system-sciences/0022-0000/guide-for-authors