摘要
文章研究了运用Kohonen神经网络方法对膨胀土膨胀潜势进行分类的原理和方法,并建立了膨胀土膨胀潜势分类判别的Kohonen神经网络模型。利用此模型对陕南膨胀土的膨胀潜势进行了判别分类。结果表明,这一评价方法比其他方法更简洁,也更准确。
This paper studies the principle and method for applying the Kohonen Neural Network to classify the swelling potential grades of the expansive soil, and establishes a model of Kohonen Neural Network for judging the swelling potential grades of the expansive soil. By the application of the model to the expansive soil in the south of Shaanxi, the results shows the method of Kohonen Neural Network is simpler and more correct.
出处
《交通与计算机》
2003年第6期97-99,共3页
Computer and Communications
