Abstract: In this paper, weighted mean subtractive clustering algorithms are proposed to find cluster centers of the dataset. Then the found cluster centers ...
Abstract—In this paper, weighted mean subtractive clustering algorithms are proposed to find cluster centers of the dataset. Then the found cluster centers ...
In this paper, weighted mean subtractive clustering algorithms are proposed to find cluster centers of the dataset. Then the found cluster centers act as ...
In this study, we propose a weighted mean subtractive clustering algorithm in which new cluster centers are derived by using weighted mean method on the ...
Designing RBF neural networks with weighted mean subtractive clustering algorithms ... RBF Neural Networks with PSO and Improved Subtractive Clustering Algorithms.
In this article, a new fast algorithm for training RBF networks is proposed, which selects the hidden node centers using the subtractive clustering (SC) method ...
A PSO-based subtractive clustering technique for designing RBF neural networks ... Designing RBF neural networks with weighted mean subtractive clustering ...
Abstract: Aiming at the disadvantages of the traditional K-means clustering algorithm, a new algorithm based on density is proposed to remove the noises and ...
Missing: weighted | Show results with:weighted
Jun 13, 2022 · In this research, people will study the application of the RBF neural network model based on deep learning in flower pattern design in art ...
particle swarm optimization (PSO)-based subtractive clustering ... The proposed method used RBF neural network to design a helicopter identification system.