GB/T 5271.34-2006 in English

《GB/T 5271.34-2006信息技术 词汇 第34部分:人工智能 神经网络》由TC28（全国信息技术标准化技术委员会）归口，TC28SC42（全国信息技术标准化技术委员会人工智能分会）执行，主管部门为国家标准化管理委员会。
GB/T5271的本部分给出了人工智能中有关神经网络及其组成部分、连接机制和功能的概念的术语和定义。

Information technology — Vocabulary — Part 34: Artificial intelligence — Neural networks

1 General

1.1 Scope

This part of GB/T 5271 specifies the terms and definitions of selected concepts relevant to the field of information technology and identifies relationships among the entries.

In order to facilitate their translation into other languages, the definitions are drafted so as to avoid, as far as possible, any peculiarity attached to a language.

This part defines concepts in artificial intelligence related to neural networks, their components, connections and functions.

1.2 Normative references

The following normative documents contain provisions which, through reference in this text, constitute provisions of this part of GB/T 5271. For dated references, subsequent amendments (excluding corrections), or revisions, of any of these publications do not apply to this part. However, parties to agreements based on this part are encouraged to investigate the possibility of applying the most recent editions of the normative documents indicated below. For undated references, the latest edition of the normative document referred to applies.

GB/T 5271.1-2000 Information technology - Vocabulary - Part 1: Fundamental terms (idt ISO/IEC 2382-1:1993)
GB/T 5271.12-2000 Information technology - Vocabulary - Part 12: Peripheral equipment (eqv ISO/IEC 2382-12:1988)
GB/T 5271.28-2001 Information technology - Vocabulary Part 28: Artificial intelligence - Basic concepts and expert system (idt ISO/IEC 2382-28:1995)
GB/T 5271.31-2006 Information technology - Vocabulary - Part 31: Artificial intelligence - Machine learning (idt ISO/IEC 2382-31:1997)
GB/T 15237.1-2000 Terminology work - Vocabulary - Part 1: Theory and application (eqv ISO 1087-1:2000)

1.3 Principles and rules followed

1.3.1 Definition of an entry

Section 2 comprises a number of entries. Each entry consists of a set of essential elements that includes an index number, one term or several synonymous terms, and a phrase defining one concept. In addition, an entry may include examples, notes or illustrations to facilitate understanding of the concept. Occasionally, the same term may be defined in different entries, or two or more concepts may be covered by one entry, as described in 1.3.5 and 1.3.8 respectively.

Other terms such as vocabulary, concept, term and definition, are used in this part with the meaning given in GB/T 15237.1.

1.3.2 Organization of an entry

Foreword II
1 General
1.1 Scope
1.2 Normative references
1.3 Principles and rules followed
2 Terms and definitions
34.01 General concepts
34.02 Neural networks and their components
34.03 Connections and functions
Annex B (Informative) Index in English