Machine learning system and method

Abstract

The invention discloses a machine learning system. The system comprises clients used to collect to-be-recovered data and a cloud-end server connected with the client via network. Each client comprises a first processor provided with an improved intelligent algorithm; and the cloud end server comprises a second processor provided with a BP neural network model, the second processor processes the to-be-recovered data via the BP neural network model and optimizes initial parameters value of the BP neural network via the improved intelligent algorithm, and the initial parameter values include an initial weight and an initial threshold. The machine learning system is higher in learning speed and learning precision.

Description

technical field [0001] The invention relates to the field of health information interaction, in particular to a machine learning system. Background technique [0002] Machine learning (Machine Learning, ML) is a multi-field interdisciplinary subject, involving probability theory, statistics, approximation theory, convex analysis, algorithm complexity theory and other disciplines. Specializes in the study of how computers simulate or implement human learning behaviors to acquire new knowledge or skills, and reorganize existing knowledge structures to continuously improve their performance. Machine learning is the core of artificial intelligence and the fundamental way to make computers intelligent, and its application pervades all fields of artificial intelligence. [0003] In recent years, the aging of my country's population has accelerated, and with the rapid development of the times, people's pace of life has been accelerating, and the pressure of life has continued to i...

AI Technical Summary

Problems solved by technology

[0007] The present invention intends to provide a machine learning system to solve the problem of uncertain initialization parameter values ​​in existing machine learning systems

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