摘要
人工神经网络具有很强的自训练学习和容错能力等优点,且BP网络的学习算法简单、学习能力强,其在实际中具有较为广泛的应用。鉴此应用BP神经网络对运动成绩进行预测,并结合实例说明了该方法的实施与应用。数值试验表明模型具有很高的预测精度,为运动成绩的预测提供了一种新的方法。
An important contribution of Artificial Neural Network is the ability of learning to perform operations, not only for inputs exactly liking the training data, but also for new data that may be incorrect, and it have fine learning capability and simple learning algorithm, so the hack propagation （BP） neural network is widely used in practice. The article adopts the BP method of artificial neural network to forecast athletic achievements, and it shows that the precision of the model is effective through learning some samples. It offers a new method to forecast athletic achievements.
出处
《南京体育学院学报（社会科学版）》
2006年第4期109-111,共3页
Journal of Nanjing Institute of Physical Education
关键词
人工神经网络
预测
BP算法
运动成绩
统计检验
artificial neural network
forecast
hack propagation algorithm
athletic achievements
statistical test
