Open Access
Issue |
BIO Web Conf.
Volume 97, 2024
Fifth International Scientific Conference of Alkafeel University (ISCKU 2024)
|
|
---|---|---|
Article Number | 00078 | |
Number of page(s) | 11 | |
DOI | https://doi.org/10.1051/bioconf/20249700078 | |
Published online | 05 April 2024 |
- Adebiyi, A.A., Adewumi, A.O., and Ayo, C.K., (2014). Comparison of ARIMA and Artificial Neural Networks Models. Journal of Applied Mathematics. [Google Scholar]
- Farizawani, A.G., Puteh, M., Marina, Y., Rivaie, A., (2020). A review of artificial neural network learning rule based on multiple variants of conjugate gradient approaches. Journal of Physics: Conference Series. [Google Scholar]
- Al-Mahdawi, H. K., Albadran, Z., Alkattan, H., Abotaleb, M., Alakkari, K., & Ramadhan, A. J. (2023, December). Using the inverse Cauchy problem of the Laplace equation for wave propagation to implement a numerical regularization homotopy method. AIP Conference Proceedings (Vol. 2977, No. 1). AIP Publishing. [Google Scholar]
- Hansen, J.V., Mcdonald, J.B., Nelson, R.D., (1999). Time series prediction with genetic-algorithm designed neural networks. Computational Intelligence. 15(3): 171–184. [CrossRef] [Google Scholar]
- Ehsan Khodadadi, S. K. Towfek, Hussein Alkattan. (2023). Brain Tumor Classification Using Convolutional Neural Network and Feature Extraction. Fusion:Practice and Applications, 13(2), 34–41. [CrossRef] [Google Scholar]
- Kumar, P., Sharma, P., (2014). Artificial Neural Networks-A Study. International Journal of Emerging Engineering Research and Technology. 2(2): 143–148. [Google Scholar]
- Mahalingaraya, Rathod, S., Sinha, K., Shekhawat, R.S., Chavan, S., (2018). Statistical Modelling and Forecasting of Total Fish Production of India: A Time Series Perspective. International Journal of Current Microbiology and Applied Sciences. 7(03): 1698–1707. [CrossRef] [Google Scholar]
- Merh, N., Saxena, P.V., Pardasani, K.R., (2010). A comparison between hybrid approaches ofANN and ARIMA for Indian stock trend forecasting. Business Intelligence Journal. 3(2): 22–43. [Google Scholar]
- Akbari, E., Mollajafari, M., Al-Khafaji, H. M. R., Alkattan, H., Abotaleb, M., Eslami, M., & Palani, S. (2022). Improved salp swarm optimization algorithm for damping controller design for multimachine power system. IEEE Access, 10, 82910–82922. [CrossRef] [Google Scholar]
- Niedbala, G., (2019). Simple model based on Artificial Neural Network for early prediction and simulation of winter rapeseed yield. Journal of Integrative Agriculture. 18(1): 54–61. [CrossRef] [Google Scholar]
- Niedbala, G., Kozlowski, R.J., (2019). Application of Artificial Neural Networks for Multi-Criteria Yield Prediction of Winter Wheat. Journal of Agricultural Science and Technology. 21: 51–61. [Google Scholar]
- Al-Nuaimi, B. T., Al-Mahdawi, H. K., Albadran, Z., Alkattan, H., Abotaleb, M., & El-kenawy, E. S. M. (2023). Solving of the inverse boundary value problem for the heat conduction equation in two intervals of time. Algorithms, 16(1), 33. [CrossRef] [Google Scholar]
- Yao, J.T., Tan, C.L., Poh, H.L., (1999). Neural networks for technical analysis: a study on KLCI. International Journal of Theoretical and Applied Finance. 2(2): 221–241. [CrossRef] [Google Scholar]
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.