Analysis on Nonlinear Core Competence Assessment Model of Real Estate Based on Artificial Neural Network

Abstract

The real estate companies must focus on core competence in order to succeed in the fierce competition. This paper presents a probabilistic model for core competence estimation of real estate firms. According to the nonlinear feature of real estate core competence, this paper establishes the neural network core competence assessment model of real estate, analyses the ability of artificial neural network to real estate core competence assessment, and lays the theoretical foundation of artificial neural network using in the systematic optimization of real estate core competence assessment and getting reasonable accurate core competence assessment result.