期刊名称：International Journal of Computer Technology and Applications
电子版ISSN：2229-6093
出版年度：2013
卷号：4
期号：6
页码：990-995
出版社：Technopark Publications
摘要：Classification of soils plays a vital role in agriculture. Carrying out this process may not be accurate. Automating this process provides improved accuracy and faster results. Our proposal provides a genetic based method combined with neural networks to classify soils based on their properties. Genetic algorithm helps in input attribute analysis and selection; hence the system is flexible and can handle any number of input parameters with faster convergence rates. The proposed method is found to be faster and accurate when compared to the usual data mining based classification methods
