Multiplicative neuron model artificial neural network based on Gaussian activation function

Gundogdu, Ozge and Egrioglu, Erol and Aladag, Cagdas Hakan and Yolcu, Ufuk (2016) Multiplicative neuron model artificial neural network based on Gaussian activation function. Neural Computing and Applications, 27 (4). pp. 927-935. ISSN 0941-0643

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Abstract

Multiplicative neuron model-based artificial neural networks are one of the artificial neural network types which have been proposed recently and have produced successful forecasting results. Sigmoid activation function was used in multiplicative neuron model-based artificial neural networks in the previous studies. Although artificial neural networks which involve the use of radial basis activation function produce more successful forecasting results, Gaussian activation function has not been used for multiplicative neuron model yet. In this study, rather than using a sigmoid activation function, Gaussian activation function was used in multiplicative neuron model artificial neural network. The weights of artificial neural network and parameters of activation functions were optimized by guaranteed convergence particle swarm optimization. Two major contributions of this study are as follows: the use of Gaussian activation function in multiplicative neuron model for the first time and the optimizing of central and propagation parameters of activation function with the weights of artificial neural network in a single optimization process. The superior forecasting performance of the proposed Gaussian activation function-based multiplicative neuron model artificial neural network was proved by applying it to real-life time series.

Item Type:
Journal Article
Journal or Publication Title:
Neural Computing and Applications
Uncontrolled Keywords:
/dk/atira/pure/subjectarea/asjc/1700/1712
Subjects:
?? artificial neural networkforecastinggaussian activation functionmultiplicative neuron modelparticle swarm optimizationsoftwareartificial intelligence ??
ID Code:
139463
Deposited By:
Deposited On:
10 Dec 2019 14:40
Refereed?:
Yes
Published?:
Published
Last Modified:
15 Jul 2024 20:11