能源系统智能计算机措施中片段智能创新模型的表示原理。

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Artificial Intelligence Pub Date : 2024-03-20 DOI:10.15407/jai2024.01.018
Stasiuk O
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引用次数: 0

摘要

基于流体技术过程智能化的片段智能方法,对分布式能源系统的创新重新设计问题进行了分析。提出了在智能计算机系统中以人类智能表示创新数学模型的方法。建立高级智能复杂度和维度的智能数学模型的一系列原则。提出了创建认知模型的方法和模拟识别和形成新知识的创造性活动的方法。在微分图像领域,提出了一些微分数学模型和方法,用于发展对异常过程的光谱和相关分析的整体性,这些异常过程传统上被归入创造类。Bible.8.
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Principles of representation of innovative models of piece intelligence in intelligent computer measures for energy systems.
An analysis of the problem of innovative redesign of distributed energy systems based on the methods of piece intelligence for the intelligentization of fluid technological processes has been carried out. The methodology for representing innovative mathematical models to human intelligence in intelligent computer systems has been proposed. The set of principles for the formation of intelligent mathematical models of advanced intellectual complexity and dimension for. Methods for creating cognitive models and methods for simulating creative activity for identifying and forming new knowledge have been suggested. A number of differential mathematical models and methods for the development, in the field of differential images, of the totality of spectral and correlation analysis of anomalous processes, which are traditionally assigned to the creative class, have been proposed. Bible.8.
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来源期刊
Artificial Intelligence
Artificial Intelligence 工程技术-计算机:人工智能
CiteScore
11.20
自引率
1.40%
发文量
118
审稿时长
8 months
期刊介绍: The Journal of Artificial Intelligence (AIJ) welcomes papers covering a broad spectrum of AI topics, including cognition, automated reasoning, computer vision, machine learning, and more. Papers should demonstrate advancements in AI and propose innovative approaches to AI problems. Additionally, the journal accepts papers describing AI applications, focusing on how new methods enhance performance rather than reiterating conventional approaches. In addition to regular papers, AIJ also accepts Research Notes, Research Field Reviews, Position Papers, Book Reviews, and summary papers on AI challenges and competitions.
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