A Bayesian regularization radial basis neural network novel procedure for the fractional economic and environmental system
The motive of current work is to design a novel radial basis Bayesian regularization neural network (RB-BRNN) for solving the nonlinear fractional economic and environmental system (FEES). A radial basis activation function in the hidden layers is applied by taking 20 numbers of neurons. The mathema...
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Published in | International journal of computer mathematics Vol. 102; no. 2; pp. 280 - 291 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Abingdon
Taylor & Francis
01.02.2025
Taylor & Francis Ltd |
Subjects | |
Online Access | Get full text |
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