The Impact of Data Quality on Neural Network Models

Abstract

This paper introduces the neural network evaluates Sanjiangyuan grassland degradation degree evaluation model from three aspects: data source, the neural network design and experimental process analysis. It focuses on analyzing the impact of training data quality on neural network quality and points out that the importance of data quality in big data era.