Using a Supervised Fuzzy ART Neural Network for Lithology Recognition in Logging
Jun Chen · Journal of Jilin University · 2008
A new neural network model that incorporates a supervised mechanism into a fussy ART,and introduces a learning method of warning level Parameters is investigated.The model has the ability of determining the warning level Parameters by itself.Based on the coring logging data of Classic Volcanic in DaQing outside;we applied the model to lithology classification in logging.the result shows that the model has good Fault-tolerant ability,and is applicable for the scattered points to cluster.