Double-channel convolutional neural network (CNN)

Input

The features were recognized with spatial correlation range, and input to different size of convolution kernel.

The input files included features of population data, check-in data, POIs, spatial competition index, and road network density.

Output

The output was the total monthly sales of all the retail stores in the region, and a model was constructed to express the relationship between market demand and site selection factors.

Network structure

pubilication

Site Selection Improvement of Retailers Based on Spatial Competition Strategy and a Double-Channel Convolutional Neural Network

DOI: https://doi.org/10.3390/ijgi9060357

tips

data augmentation could be used when need more training data sets