发帖
雷达卡
摘要翻译：
本文描述了人工神经网络在单元制造系统附近的成组技术应用中的影响。通过对从90年代初开始实践到2010年所获得的文献的批判性分析，确定了这一研究的趋势，并捕捉到了这一研究的演变过程。分析了各种人工神经网络方法，发现了研究模式，比较了聚类效率，得到的解决方案和使用的工具，使本研究在同类中独树一帜。
---
英文标题：
《Neural Network Influence in Group Technology: A Chronological Survey and
Critical Analysis》
---
作者：
Sourav Sengupta, Tamal Ghosh, Pranab K Dan, Manojit Chattopadhyay
---
最新提交年份：
2012
---
分类信息：
一级分类：Computer Science 计算机科学
二级分类：Artificial Intelligence 人工智能
分类描述：Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域，除了视觉、机器人、机器学习、多智能体系统以及计算和语言（自然语言处理），这些领域有独立的学科领域。特别地，包括专家系统，定理证明（尽管这可能与计算机科学中的逻辑重叠），知识表示，规划，和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
--
一级分类：Physics 物理学
二级分类：Adaptation and Self-Organizing Systems 自适应和自组织系统
分类描述：Adaptation, self-organizing systems, statistical physics, fluctuating systems, stochastic processes, interacting particle systems, machine learning
自适应，自组织系统，统计物理，波动系统，随机过程，相互作用粒子系统，机器学习
--
---
英文摘要：
This article portrays a chronological review of the influence of Artificial Neural Network in group technology applications in the vicinity of Cellular Manufacturing Systems. The research trend is identified and the evolvement is captured through a critical analysis of the literature accessible from the very beginning of its practice in the early 90's till the 2010. Analysis of the diverse ANN approaches, spotted research pattern, comparison of the clustering efficiencies, the solutions obtained and the tools used make this study exclusive in its class.
---
PDF链接：
https://arxiv.org/pdf/1012.5813
京公网安备 11010802022788号
