In this paper, the practice of Particle Swarm Optimization(PSO) algorithm optimizing neural networks was presented. The advantage of the PSO over many of the ...
The study focused on training the connection weights between the neurons in different layers and structure of BP neural networks through PSO algorithm in order ...
The study focused on training the connection weights between the neurons in different layers and structure of BP neural networks through PSO algorithm in order ...
A New Approach to Determine the Optimum Structure System for Tall Buildings Using Artificial Neural Networks and PSO Algorithms pp. 181-185. A Particle Swarm ...
The computational procedure is based on the coupling of a finite element thermochemical process model, dynamic artificial neural networks and genetic algorithms ...
Missing: Tall Buildings
Jan 1, 1988 · A New Approach to Determine the Optimum Structure System for Tall Buildings Using Artificial Neural Networks and PSO Algorithms · Evolutionary ...
A New Approach to Determine the Optimum Structure System for Tall Buildings Using Artificial Neural Networks and PSO Algorithms. Conference Paper. Sep 2009.
A new approach for predicting a band gap energy is suggested in this paper. The proposed structure is based on artificial neural networks (ANN) and the particle ...
Missing: Tall Buildings
In this part of the study, a hybrid structure was created using PSO and ANN to most successfully predict target displacements under different seismic risks for ...
Sep 4, 2021 · As such, the aim of this work is to utilize artificial neural network (ANN) technique and particle swarm optimization (PSO) algorithm to ...
Missing: Tall | Show results with:Tall