Tolerance Spaces Theory and Its Applications in Neural Networks
容限空间理论的扩展及其在人工神经网络中的应用

TST (Tolerance Spaces Theory) suggested by Zmoeeman has defined some concepts such as Tolerance and Tolerance Space. Based on known knowledge on TST, this paper mainly discusses the following problems; 1) the further study of TST, specially in the definition of Generations; 2)TST is applied to some problems of Artificia Neural Networks; 3) an algorithm which can be used for machine learning is given.