Title :
The Prediction on Residential Real Estate Price Based on BPNN
Author_Institution :
Dept. of City Manage., Hunan City Univ., Yiyang, China
fDate :
6/1/2015 12:00:00 AM
Abstract :
The paper brings up a mixed optimizing model based on IPSO-BPNN. The model has used IPSO to optimize the definition of original weights and threshold value. We take the real estate market in Changsha as an example. This algorithm can be applied in the price prediction of residential property.
Keywords :
"Neural networks","Correlation","Particle swarm optimization","Predictive models","Prediction algorithms","Training","Analytical models"
Conference_Titel :
Intelligent Computation Technology and Automation (ICICTA), 2015 8th International Conference on
DOI :
10.1109/ICICTA.2015.256
