PROBLEM TO BE SOLVED: To build 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 that can practice deep layer competitive learning among pieces of data on the basis of accurate distance.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
METHOD FOR BUILDING NEURAL NETWORK MODEL OF ULTRA-DEEP LAYER COMPETITIVE LEARNING, DEVICE THEREOF, GENERAL-PURPOSE MOBILE TERMINAL DEVICE EQUIPPED WITH THE MODEL, AND PROGRAM THEREOF