BP算法在数据挖掘中应用研究

探讨了数据挖掘数据技术的准备工作,由于神经网络方法的特殊性,数据准备更显得尤为重要.对标准的BP算法进行了研究,针对现有人工神经网络中BP算法效率较低、容易陷入局部极小等存在的问题,提出了一种改进的BP算法,并针对这种算法进行了"与"和"异或"问题中的分析测试.测试结果表明了改进的BP算法缩短了学习时间,提高了学习效率,并在一定程度上避免了学习中的局部极小问题.

Study and applications of DM based on BP arithmetic

Firstly,the preparation of DM technology is researched,because of the nerve network the method's special.It's importance for data preparation.Then the standard BP arithmetic is researched,to the existed problem of standard BP arithmetic(inefficient and easy getting into local minimum),an improved BP arithmetic is put forward.It is reasoned not only in theories,but also in experiments(using the math logic problem,"AND" and "XOR" problem).Experiments results show that the improved BP arithmetic has shorted the study time,improved the study efficiency and averted from getting into local minimum in some degree.