An Approach to Carbon Emissions Prediction Using Generalized Regression Neural Network Improved by Genetic Algorithm
It was observed that all the maximum values of genetic algorithms in the fitness curves and average fitness degree curves did not appear large-scale shocks, and the conver gence of the algorithm was relatively smooth. The popula tion in the evolutionary process of the two curves showed mutual convergence; successive generations of the indi viduals with the maximum adaptation did not evolve. It suggested that populations reached mature, as shown in Figure 2 and Figure 3.
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Read more in the paper,openly accessible with us at :https://ojs.bilpublishing.com/index.php/ese/issue/view/210
If you want to join us please contact Hathli (Email:ese@bilpublishing.com)
