The authors are the first who succeeds in using BP neural networks to forecast the horizontal displacement of cement soil gravity retaining wall. This method is proved to be very useful and important. It has not only the ability to resolve many very complex problems, which cannot be solved by numerical methods, but also accords very well with the spot measurement values.