摘要
根据遗传算法和神经网络的特点,运用遗传算法优化神经网络模型,建立了建筑工程结构与工程造价之间的非线性关系。以实际的住宅工程为例,验证了遗传算法优化神经网络模型的可行性和可靠性,并且优于简单的神经网络模型,为实际工程投资估算提供了一种有效的方法。
According to the features of genetic algorithm （GA） and artificial neural network （ANN）, GA has been used to optimize the ANN model, thus to establish a non-linear relationship between construction engineering structure and engineering cost. Taking the real residential projects as examples, this paper has verified the feasibility and reliability of GA- ANN model which is superior to the simple ANN model and proves an effective evaluation method for project investment.
出处
《洛阳理工学院学报（自然科学版）》
2012年第4期55-58,共4页
Journal of Luoyang Institute of Science and Technology：Natural Science Edition
关键词
遗传算法
神经网络
工程结构
工程造价
genetic algorithm
artificial neural network
engineering construction
engineering cost
