Information fusion and adaptive coupling method of extensively-related sparse matrix space

Abstract

The invention provides an information fusion and adaptive coupling method of an extensively-related sparse matrix space and belongs to the technical field of artificial intelligence. The invention comprises steps of 1) establishing an extensively-related sparse matrix information space and achieving a fusion expression of complex heterogeneous information; 2) providing an establishing method of the extensively-related sparse matrix and designing multi-module sparse coding; 3) defining operation rules of heterogeneous elements in the extensively-related sparse matrix information space; and 4) accordingly achieving a multi-attribute intelligent matching and service discovery system. The problem that global elements cannot be fused because existing methods of the same kind do not have a unified system configuration and heterogeneous information fusing method and adopt classification and layered optimization is solved. The problem that the time resource cost in application level is too much and the movable end environmental application is difficult to achieve is solved. The problem that the global stability and convergence in technology level is hard to ensure is solved.

Description

technical field [0001] The invention belongs to the technical field of artificial intelligence and relates to an information fusion and self-adaptive matching method of a pan-correlation sparse matrix. Background technique [0002] Information matching is a hot spot in the field of artificial intelligence technology, and it is widely used in commodity identification and product recommendation systems, especially in some commercial systems. Various types of information and the heterogeneity and complexity of emerging information doomed the importance of the fusion of relevant information in information matching, so information fusion has attracted great attention and extensive research in recent years. However, due to the huge amount of information and the variety of types, information fusion is facing unprecedented challenges, which is far from meeting the needs of users. In some existing commercial systems, the identification of a large number of objects with specific attr...

AI Technical Summary

Problems solved by technology

Solve the problem that the existing similar methods are difficult to integrate global elements due to the lack of a unified system architecture and heterogeneous information fusion method; the application layer has too much time and communication resource overhead, and it is difficult to realize the mobile terminal environment Application problems; it is difficult to guarantee global stability and convergence at the technical level

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