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A software architecture design method of an embedded machine learning system

A software architecture and machine learning technology, applied in the computer field, can solve problems such as the inability of data to provide training data, the inability to achieve seamless embedding, and different programming languages, achieving high cohesion, good compatibility, and improved stability sexual effect

Active Publication Date: 2019-04-05
中国科学院电子学研究所苏州研究院
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Problems solved by technology

This has caused two practical problems. One is that the programming languages ​​used by the information management system developers and the machine learning system developers are different, and seamless embedding cannot be achieved; the other is that natural language processing requires a large amount of training data. Due to various reasons, the data cannot provide enough training data for machine learning system developers

Method used

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  • A software architecture design method of an embedded machine learning system
  • A software architecture design method of an embedded machine learning system
  • A software architecture design method of an embedded machine learning system

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Embodiment Construction

[0039] The present invention will be described in detail below with reference to the accompanying drawings and in combination with embodiments.

[0040] figure 1 It is a frame diagram of the software architecture of an embedded machine learning system proposed by the present invention. The software architecture proposed in the present invention is divided into seven modules, which are respectively the main tune module, algorithm I / O module, algorithm interface module, model configuration module, machine learning module, training data module and visual interface module. Among them, the main calling module, algorithm I / O module and algorithm interface module are all responsible for the preparation of machine learning algorithms, focusing on the calling logic of the software architecture, and not addressing the needs of actual text processing. The machine learning module and model configuration module are the core of the machine learning system, wherein the machine learning modu...

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Abstract

The invention relates to a software architecture design method of an embedded machine learning system. According to the invention, during software development, the overall software structure is divided into a main adjustment module, an algorithm I / O module, an algorithm interface module, a training data module, a model configuration module, a machine learning module and a visual interface module,and the natural language processing machine learning system for text processing in the enterprise-level information management system is achieved; and the system is high in stability, supports multi-language parallel development, and is efficient in training data processing and wide in application environment range.

Description

technical field [0001] The invention belongs to the technical field of computers, and relates to an embedded software architecture design method, in particular to an embedded machine learning system software architecture design method. Background technique [0002] Traditional software design methods focus on the selection of data structures and algorithms. With the increasing scale of software systems, the structure of software systems becomes more and more complex, and the diversification of software development environments and application environments, a large Large-scale software systems must be developed by multiple people, and the structure and interaction description of the entire system are becoming more and more important. At the same time, with the rapid development and popularization of machine learning related technologies, more and more problems and tasks encountered by people can be solved by using machine learning technology. In the original system, the reali...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F8/20
CPCG06F8/22
Inventor 华绿绿乔雪杨婷段贺彭晨
Owner 中国科学院电子学研究所苏州研究院
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