Article / 11
Article PDF Full-Issue Download View Details Source Title| Cite Article Cite Article

MLA

Aifen, Ye, et al. "GA-BP Optimization Using Hybrid Machine Learning Algorithm for Thermopile Temperature Compensation." IJITWE vol.19, no.1 2024: pp.1-14. http://doi.org/10.4018/IJITWE.337491

APA

Aifen, Y., Shuwan, L., & Huan, W. (2024). GA-BP Optimization Using Hybrid Machine Learning Algorithm for Thermopile Temperature Compensation. International Journal of Information Technology and Web Engineering (IJITWE), 19(1), 1-14. http://doi.org/10.4018/IJITWE.337491

Chicago

Aifen, Ye, Lin Shuwan, and Wang Huan. "GA-BP Optimization Using Hybrid Machine Learning Algorithm for Thermopile Temperature Compensation," International Journal of Information Technology and Web Engineering (IJITWE) 19, no.1: 1-14. http://doi.org/10.4018/IJITWE.337491

Export Reference

Mendeley
GA-BP Optimization Using Hybrid Machine Learning Algorithm for Thermopile Temperature Compensation

International Journal of Information Technology and Web Engineering (IJITWE)

Organizations are continuously overwhelmed by a variety of new information technologies; many are Web-based. These new technologies are capitalizing on the widespread use of network and communication technologies for seamless integration of various issues in information and knowledge sharing within and among organizations. This emphasis on integrated approaches is unique to this journal and dictates cross platform and multidisciplinary strategy to research and practice.


View source title
Article / 11