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pro vyhledávání: '"Ali Najem Alkawaz"'
Autor:
Ali Najem Alkawaz, Abdallah Abdellatif, Jeevan Kanesan, Anis Salwa Mohd Khairuddin, Hassan Muwafaq Gheni
Publikováno v:
IEEE Access, Vol 10, Pp 108021-108033 (2022)
Since the deregulation of the power markets, accurate short term Electricity Price Forecasting (EPF) has become crucial in maximizing economic benefits and mitigating power market risks. Due to the challenging characteristics of electricity price, wh
Externí odkaz:
https://doaj.org/article/4235845b889f46c9b18dede30edb608b
Autor:
Ali Najem Alkawaz, Jeevan Kanesan, Irfan Anjum Badruddin, Sarfaraz Kamangar, Mohamed Hussien, Maughal Ahmed Ali Baig, N. Ameer Ahammad
Publikováno v:
Mathematics, Vol 11, Iss 9, p 1995 (2023)
The self-organizing map (SOM), which is a type of artificial neural network (ANN), was formulated as an optimal control problem. Its objective function is to minimize the mean quantization error, and the state equation is the weight updating equation
Externí odkaz:
https://doaj.org/article/ee7adce5e8d849ffbabd0a30d1a4896c
Autor:
Ali Najem Alkawaz, Jeevan Kanesan, Anis Salwa Mohd Khairuddin, Irfan Anjum Badruddin, Sarfaraz Kamangar, Mohamed Hussien, Maughal Ahmed Ali Baig, N. Ameer Ahammad
Publikováno v:
Mathematics, Vol 11, Iss 3, p 778 (2023)
Backpropagation (BP)-based gradient descent is the general approach to train a neural network with a multilayer perceptron. However, BP is inherently slow in learning, and it sometimes traps at local minima, mainly due to a constant learning rate. Th
Externí odkaz:
https://doaj.org/article/1bebbf50955848cfbd8fe90a13eeaef3