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Analysis of the Knowledge Loss and Knowledge Grid Based on BP Neural Network

机译：基于BP神经网络的知识丢失与知识网格分析

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摘要

Knowledge resources are the key elements of the enterprise core competencies, and knowledge loss is easy to overlook the problems of enterprises, many enterprises have to pay this end expensive price, knowledge loss problem has become an important issue of the impact the survival and development of enterprises (especially in knowledge-intensive enterprises). Knowledge Grid research focus on intelligent information processing, its goal is to eliminate isolated island of information and knowledge, to realize the intelligent sharing of information resources and knowledge resources, avoid knowledge loss. From the research direction of knowledge loss and knowledge grid, this paper analysis knowledge loss based on BP neural network, discusses the open grid services architecture, knowledge grid services architecture, system architecture, in order to provide a reference for related research.
机译：知识资源是企业核心竞争力的关键要素，知识损失很容易忽视企业的问题，许多企业必须支付这一最终的价格，知识丧失问题已成为对生存和发展影响的重要问题 企业（特别是知识密集型企业）。 知识网格研究专注于智能信息处理，其目标是消除孤立的信息和知识，实现信息资源和知识资源的智能共享，避免知识损失。 从知识丢失和知识网格的研究方向，本文分析了基于BP神经网络的知识损失，讨论了开放网格服务架构，知识网格服务架构，系统架构，以便为相关研究提供参考。

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