A study of integrating artificial immune system and artificial neural network in real estate evaluation

This study integrates artificial immune system and artificial neural network into a real estate evaluation model. Artificial immune system has the abilities of self-organizing, memory, recognition, adaptive, and ability of learning. It can be applied to nonlinear system identification and provided various feasible system models with robust and adaptive characteristics. Artificial neural network doesn´t need any complicated mathematics application and its self-learning, self-adaptive capacity, parallel processing capability and strong fault tolerance can obtain more accurate non-linear outputs from various impact factors. The result of this study indicates that the integration of artificial immune system and artificial neural network can achieve promptly accurate and satisfactory results in the real estate evaluation.