This paper discusses using genetic algorithms (GA) to optimize the structure of radial basis probabilistic neural networks (RBPNN), including how to select ...
Abstract: In this paper, a genetic algorithm (GA) is introduced into optimizing the radial basis probabilistic neural networks (RBPNN).
The paper focuses on discussing how to train and optimize the radial basis probabilistic neural network (RBPNN) structure by Recursive Orthogonal Least ...
The genetic algorithm is introduced into the structure optimization of radial basis probabilistic neural networks and a special encoding method of ...
The genetic algorithm was used to optimize the full structure radial basis probabilistic neural networks(RBPNN), including selecting the hidden centers vectors ...
In the present study, genetic algorithms are proposed to automatically configure RBF networks. The network configuration is formed as a subset selection ...
Missing: Probabilistic | Show results with:Probabilistic
In this paper, the genetic algorithm is introduced into the structure optimization of radial basis probabilistic neural networks. A special encoding method ...
Nov 24, 2024 · This paper investigates the structural parameter optimization of RBF networks with the goal of economic control. The cost function and its ...
Missing: Probabilistic | Show results with:Probabilistic
Feb 14, 2005 · Structure Optimization of Radial Basis Probabilistic Neural Networks by the Maximum Absolute Error Combined with the Micro-Genetic Algorithm.
First, the adaptation value and mutation probability were modified to improve the traditional optimization algorithm. Then, the improved genetic algorithms (GA) ...
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