基于软件的认知方法与类脑计算机机器的集成,实现高效的认知计算

Chitrakant Banchhor , Manoj Kumar Rawat , Rahul Joshi , Dharmesh Dhabliya , Omkaresh Kulkarni , Sandeep Dwarkanath Pande , Umesh Pawar
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引用次数: 0

摘要

互联网的广泛应用改变了各行各业,推动了不同领域的重大系统性改革。这一转变增强了互联网在信息传播、资源共享和全球互联互通方面的作用,使知识和服务的分配更加有效。互联网模式的发展及其研究为网络带来了巨大的利益,使人们能够使用网络并从中学习。然而,传统的教育模式只提供有限的知识,制约了成长和进步。此外,还有一个广阔的知识世界有待探索。如今,借助网络工具,人们足不出户就能了解整个世界的动态,接受不同地区的文化和知识。纵观各国对英语遗留问题的研究,高效的学习方法和高水平的英语技能是追求的目标,而传统的英语模式在短时间内无法满足学生的学习需求。基于大型开放网络课程的数据挖掘算法模型构建是国内外普遍采用的解决遗留问题的模型。根据各国大学的调查数据,数据挖掘算法的使用可以从根本上满足学生对英语知识的渴望和需求。本研究将挖掘算法整合到英语研究中,将从根本上改善英语遗留问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integration of software-based cognitive approaches and brain-like computer machinery for efficient cognitive computing
The widespread adoption of the Internet has transformed various industries, driving significant systemic reforms across different sectors. This transformation has enhanced the Internet's role in information dissemination, resource sharing, and global connectivity, allowing for more efficient distribution of knowledge and services. The development of the Internet model and its research bring significant benefits from the network, enabling people to use and learn from it. However, the traditional education model provides only limited knowledge, restricting growth and progress. Moreover, there is a vast world of knowledge yet to be explored. Nowadays, with the help of network tools, people can understand the dynamics of the whole world and accept the culture and knowledge of different regions without going out. Throughout the study of English legacy problems in various countries, efficient learning methods and high levels of English skills are the goals pursued, while the traditional English model can't meet the students' learning needs in a short time. The model construction of data mining algorithm based on large open network courses is a model for solving legacy problems adopted both domestically and internationally. According to the survey data of universities in various countries, the use of data mining algorithm can fundamentally meet the student's desire and demand for English knowledge. This research, integrates the mining algorithm into English research, which will essentially improve the English legacy problems.
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来源期刊
Neuroscience informatics
Neuroscience informatics Surgery, Radiology and Imaging, Information Systems, Neurology, Artificial Intelligence, Computer Science Applications, Signal Processing, Critical Care and Intensive Care Medicine, Health Informatics, Clinical Neurology, Pathology and Medical Technology
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