CA-GIS Model for Dynamic Simulation of Commercial Activity Development by the Combination of ANN and Bayesian Probability
CA-GIS Model for Dynamic Simulation of Commercial Activity Development by the Combination of ANN and Bayesian Probability
复制标题
人工神经网络与贝叶斯概率相结合的商业活动发展动态模拟CA-GIS模型
DOI：
10.1016/j.procs.2013.05.229
复制
发表时间：
2013
期刊：
影响因子：
--
通讯作者：
T. Lei
中科院分区：
文献类型：
--
作者：
Shwu;Chih;T. Lei
将人工智能(AI)技术与地理信息系统(GIS)相结合应用于城市相关研究是近年来兴起的一种趋势。人工神经网络(ANN)和元胞自动机(CA)是本文讨论的两种人工智能技术。ANN以其感知器逻辑而闻名，CA以其动态演化机制而闻名。本文提出了将人工神经网络与贝叶斯概率相结合的“BAANN”过程，以综合人工神经网络和CA的优点。BAANN可以将神经网络的结果转化为目标模式的转移概率，并与CA合作进行基于感知器逻辑的动态仿真。一种特定的实验材料就是一种城市商业现象，那就是夜市的发展。实验CA模型是在地理信息系统上实现的，命名为CA-GIS模型。基于BAANN的CA-GIS模型可以进行高精度的模拟，并对夜市的土地商业价值进行综合评价。此外，动态模拟实验还可以找出哪些地方是最初的发展点，哪些地区对经济波动情况敏感。
Applying Artificial Intelligence (AI) techniques with Geographic Information System (GIS) in urban-related research is a surging trend recently. Artificial Neural Network (ANN) and Cellular Automata (CA) are two AI techniques discussed in this paper. ANN is known for its perceptron logic and CA is known for its dynamic evolvement mechanism. This paper offers the combination of ANN and Bayesian probability- named ‘BAANN’ process in order to integrate the advantages of ANN and CA. BAANN can transfer ANN outcome into the transition probability of target pattern, and cooperate with CA for operating dynamic simulation based on the perceptron logic. A specific experimental material is a kind of urban commercial phenomenon, which is the development of night market. The experimental CA model is implemented on GIS- named ‘CA-GIS’ model. CA-GIS model based on BAANN can perform high accuracy simulation and comprehensively evaluate land commercial value of night market. Additionally, the experiment of dynamic simulation can find out which places are the originally developing spots, and which zones would be sensitive to the situation of economic fluctuation.
DOI：
10.1007/978-1-4302-0248-6_11
发表时间：
2019-04
期刊：
Scalable Comput. Pract. Exp.
影响因子：
--
作者：
Chet Langin
通讯作者：
Chet Langin