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介绍了作者研制的“震后趋势决策支持系统PTDSS”的构成及预报效果 .该系统使用模糊联想记忆FAM (FuzzyAssociativeMemory)模型将神经网络与模糊系统结合起来 ,使之具有第 2代专家系统的学习功能 .系统知识库中除存有专家多年来总结的有关地震现场预报的知识外 ,还通过系统学习得到了一批十分有意义的、目前专家尚未总结的知识 .震例检验的结果表明该系统有较好的预报效果
This paper introduces the composition and forecasting effect of PTDSS, a post-earthquake trend decision support system developed by the author, which combines the neural network and fuzzy system with the Fuzzy Associative Memory (FAM) model to make it have the learning of the second generation expert system Function.In addition to the knowledge of seismic field forecast summarized by experts for many years in the system knowledge base, a series of very meaningful knowledge not yet summarized by experts have been obtained through systematic study.The results of earthquake test show that the system Have a better forecast