计算智能的设计、应用和局限性综述

Ali Кhusein
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引用次数: 0

摘要

计算智能(CI)是人工智能(AI)的一个分支,它涉及设计和增强具有处理和评估大数据能力的智能模型。在过去的几十年里,由于人工智能和软计算方法、技术和工具的增强,CI的部分得到了显著的发展,这些方法、技术和工具设想了嵌入现实观察中的智能状态。这项研究贡献提供了CI设计及其不同应用的关键调查。本研究描述了CI领域的主要方法、技术和概念,包括智能系统设计、CI类型以及在不同领域的实际应用。本研究还分析了CI的局限性和挑战,并对结果、影响和未来的研究提供了见解。本研究的主要目的是提供对持续集成应用和设计的详细了解;对于人工智能领域的从业者和研究人员来说,制作是至关重要的资源。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Survey on Design, Applications and Limitations of Computational Intelligence
Computational Intelligence (CI) is a branch of Artificial Intelligence (AI), which deals with the designing and enhancement of intelligent models with the ability to process and assess big data. The segment of CI has developed significantly over the past few decades due to the enhancement of AI and soft computing approaches, techniques, and tools, which envision the status of intelligence embedded in reality observation. This research contribution provides a critical survey of CI designs and its different applications. This research provides a description of the major methods, techniques and concepts in the field of CI, including smart system designs, CI types, and practical applications in different fields. The research also presents an analysis of li mitations and challenges of CI, and provides insight into the results, effects and future research. The main purpose of this study is to provide a detailed understanding of CI applications and design; making is a vital resource for practitioners, and researchers in the field of AI.
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