HYBRID NEURON NETWORKS BASED ON RADIAL BASIS NETWORK WITH DIFFERENT RADIAL BASIS FUNCTION

O. I. Chumachenko, S. T. Dychko, А. R. Rizhiy

Abstract


It is considered the problem of structural-parametric synthesis of a hybrid neural networks based on the use of radial basis network. Hybridization is achieved through the use of various radial basis functions: Gaussian, multivariate, inverse quadratic, inverse multivariate, thin plate spline, linear, cubic, wavelet functions. The problem of structural-parametric synthesis of hybrid neural network consists in the optimal choice of the number of layers, the number of neurons in the layers, the order of alternation of layers with different neurons. The problem of optimal choice of the number of network cascades and the type of radial basis function in each cascade of the number of layers is solved. Examples of a hybrid neural network synthesis using this methodology for classification and prediction tasks solution are given.

Keywords


Hybrid neural network; structural-parametric synthesis; optimization problem

References


Ye. Bodyanskiy and O. Vynokurova, “Compartmental adaptive wavelon and its learning algorithm,” Control systems and computers 1, pp 47–53, 2009.

O. I. Chumachenko, S. T. Dychko and A. R. Rizhiy, “Hybrid Neuron Networks Based on Q-, W- and Classical Neurons,” Electronics and Control Systems, pp. 58–62, 2019. https://doi.org/10.18372/1990-5548.62.14385

Ye. Bodyanskiy, I. Pliss, O. Vynokurova, “Hybrid GMDH-neural network of computational intelligence,” Proc. 3rd International Workshop on Inductive Modelling, Poland, Krynica. 2009, рр. 100–107.

Ye. Bodyanskiy, O. Vynokurova, and N. Teslenko, “Cascade GMDH-Wavelet-Neuro-Fuzzy Network,” The 4th International Workshop on Inductive ModellingIWIM 2011, рр. 22–30.

Е. А. Vinokurova, “Generalized multidimensional wavelet-neuro-fuzzy system in computational intelligence problems,” Intelligent decision-making systems and problems of computational intelligence: a collection of scientific papers based on the materials of an international scientific conference. Evpatoriay–Cherson, vol. 2, 2010, pp. 329–333.

E. Zitzler, M. Laumanns and L. Thiele, “SPEA2: Improving the Strength Pareto approach,” Swiss Federal Institute Technology, 2001.

Optical Recognition of Handwritten Digits Data Set [Online]. Avaible: https://archive.ics.uci.edu/ml/datasets/Optical+Recognition+of+Handwritten+Digits

Daily Minimum Temperatures In Melbourne [Online]. Avaible: https://www.kaggle.com/paulbrabban/daily-minimum-temperatures-in-melbourne


Full Text: PDF

Refbacks

  • There are currently no refbacks.


Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License.