Activation functions performance in multilayer perceptron for time series forecasting

Activation functions are important hyperparameters in neural networks, applied to calculate the weighted sum of inputs and biases and determine whether a neuron can be activated. Choosing the most suitable activation function can assist neural networks in training faster without sacrificing accuracy...

पूर्ण विवरण

ग्रंथसूची विवरण
मुख्य लेखकों: Nur Haizum, Abd Rahman, Yin, Chin Hui, Hani Syahida, Zulkafli
स्वरूप: Conference or Workshop Item
भाषा:English
English
प्रकाशित: AIP Publishing 2024
विषय:
ऑनलाइन पहुंच:http://umpir.ump.edu.my/id/eprint/42460/1/2024%20Activation%20Functions%20Performance%20in%20Multilayer%20Perceptron%20for%20Time%20Series%20Forecasting.pdf
http://umpir.ump.edu.my/id/eprint/42460/2/Activation%20functions%20performance%20in%20multilayer%20perceptron%20for%20time%20series%20forecasting.pdf