Wavelet neural networks based solutions for elliptic partial differential equations with improved butterfly optimization algorithm training

• المؤلفون الرئيسيون: Lee, Sen Tan, Zainuddin, Zarita, Ong, Pauline
• التنسيق: مقال
• اللغة: English
• منشور في: Elsevier 2020
• الموضوعات: TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
• الوصول للمادة أونلاين: http://eprints.uthm.edu.my/6650/1/AJ%202020%20%28411%29.pdf; http://eprints.uthm.edu.my/6650/; https://doi.org/10.1016/j.asoc.2020.106518

In this study, a machine learning approach based on the unsupervised version of wavelet neural networks (WNNs) is used to solve two-dimensional elliptic partial differential equations (PDEs). The design of the WNNs must be judiciously addressed, particularly, the adopted training algorithm, since it...