METHOD FOR BUILDING FUZZY EVENT PROVABILITY MEASURE MODEL IN DIFFERENT SPACE, DEVICE THEREOF, PROGRAM THEREOF, AND GENERAL-PURPOSE MOBILE TERMINAL DEVICE EQUIPPED WITH THE PROGRAM

摘要

PROBLEM TO BE SOLVED: To provide a machine learning model that is higher in performance because a currently prevalent deep learning model in the artificial intelligence field can only map functions, and provide a method for finding a strict fuzzy event probability measure with a Euclidean space and a probability space unified.SOLUTION: A method includes presenting a strict distance measure with a Euclidean space and a probability space unified, and a measure of fuzzy event probability measure on the basis of the distance. Alternatively, it includes practicing ultra-deep layer competitive learning among pieces of data including minute ambiguous fuzzy information and minute unstable probability information. Integration operation of the result allows dramatic effect at a macro level to be obtained. Furthermore, a new neural network capable of transmitting information with the maximum probability is built.SELECTED DRAWING: Figure 5