LEARNING ASSOCIATION BY SELF-ORGANIZATION NEURAL TREE APPLIED TO THE ESTIMATION OF FORMATION CONDITION FOR AMORPHOUS PHASE OF TRINAL FLUORIDES

In this paper, Learning Association by Self-organization neural tree(L ASSONT) was applied to the estimation of the formation condition for a morphous phase of trinal fluorides by using the chemical bond paramete rs, and the intelligential expert systems for computer estimation was established, The classification results show that the performance of t he neural tree is good, and therefore LASSONT might be referred as an effective assistant technique for the investigation of formation condi tion of amorphous phase of trinal fluorides.