Improved Particle Swarm Optimization Algorithm to Optimize Millimeter Wave Channel Modeling of RBF Neural Network
Author:
Affiliation:
1. College of Electronic and Optical Engineering & College of Microelectronics, Nanjing University of Posts and Telecommunication,Nanjing,Jiangsu,China,210003
Funder
National Natural Science Foundation of China
Jiangsu Graduate Research and Practice Innovation Program
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9752774/9752691/09753569.pdf?arnumber=9753569
Reference7 articles.
1. Study of RBF Neural Network Based on PSO Algorithm in Nonlinear System Identification
2. Neural network and GBSM based time-varying and stochastic channel modeling for 5G millimeter wave communications
3. A tunable radial basis function model for nonlinear system identification using particle swarm optimisation
4. An Adaptive-PSO-Based Self-Organizing RBF Neural Network
5. Angular Measurements and Analysis of the Indoor Propagation Channel at 60 GHz
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