Improving learning in Artificial Neural Networks using better weight initializations
Abstract Artificial Neural Networks is a popular choice in optimization tasks for a number of
applications such as approximations, regression, classification. The speed of training of …
applications such as approximations, regression, classification. The speed of training of …
An adaptive learning paradigm: event detection through a novel dynamic arithmetic optimization-based ensemble SVM for data stream classification
RM Vidya, M Ramakrishna - International Journal of Information …, 2024 - Springer
Data stream mining is the process of generating continuous data stream records such as
internet search, phone conversations, sensor data, etc. However it performs huge tasks such …
internet search, phone conversations, sensor data, etc. However it performs huge tasks such …