知识产生的过程

基本解释 (translations)

noegenesis

与知识产生的过程相关的网络例句 [注：此内容来源于网络，仅供参考]

Data mining, known as Knowledge Discovery in Databases, is defined as the nontrivial extraction of implicit, previously unknown, and potentially useful information from a great volume of data accumulations. It uses machine learning, statistical and visualization techniques to discover and present knowledge in a form being easily comprehensible to humans. Data mining is an advanced data processing technique.

数据挖掘是在数据和数据库急剧膨胀的背景下，为解决"人们被数据淹没，但却饥饿于知识"这种困境而产生的，也是数据库技术、人工智能技术、统计技术、可视化技术等发展的结果，其目的就是从大量的、不完全的、有噪音的、模糊的数据中提取出隐含在其中的潜在有用的可信、新颖并能被人理解的信息和知识，它是一种高级的数据处理过程。

A new knowledge acquirement way is presented based on the reliability data of product, then the fuzzy semantic net which consists of FEPM and fuzzy fault tree is regard as fault knowledge representation. The formalization of the fuzzy semantic net is described, and the relative concepts and relations are summarized. A stereo-knowledge representation which consisted of FFTF, rule and fuzzy neural network which make up of the shallow knowledge of the product is presented. The integrated fault diagnosis method based on the stereo-knowledge representation is suggested. The method is as follows. The fuzzy search inference is carried out on FFTF firstly. If the node being diagnosing can be decided if it failed or not in the fuzzy search inference, the rule inference to the node is carried out with the rules which being in symptom-fault way. An equivalent method, pattern recognization inference using fuzzy neural network, can fulfill the same work.

提出了以FFTF模糊语义网络为主、基于浅知识的产生式规则、模糊神经网络为辅的产品故障知识的立体知识表示方式，并提出了基于该多种知识表示的综合性故障诊断方法，即：首先对故障产品进行基于FFTF模糊语义网络的模糊搜索推理，如果在模糊搜索推理过程中不能确定当前诊断节点故障与否，则对当前诊断节点进行基于征兆-故障形式的验证式规则推理或者对包含该诊断节点的部件／子系统进行基于模糊神经网络的模式识别推理，如果在完成或者不再进行基于模糊语义网络的故障推理，仍然不能诊断出故障节点，则对基于模糊语义网络诊断过程中形成的故障诊断子图进行神经网络推理。

The generation of information, knowledge and development experience lengthy process.

信息、知识的产生和发展都经历漫长的过程。

"Learning more about the way a specific type of cancer deelops, and what proteins it produces as it grows, helps us find better ways to treat that cancer," said Dr. Lai, who is a cancer researcher at Mayo Clinic with background as an otolaryngologist."With nasopharyngeal cancer, we think this new enzyme may help sole the puzzle."

"了解更多的有关特定肿瘤发育过程的知识，以及其生长过程中产生的蛋白质，能够帮助我们找到更好的治疗肿瘤的办法，"具有耳鼻喉科医师身份，目前作为肿瘤科研人员工作在Mayo临床中心工作的Lai博士说："对于鼻咽癌，我们认为这种新的酶能够解决这些难题。"

Besides the tacitness, the characteristics also composes of distribution, transferability and appropriabilitry. Based on these foundation, the dissertation explain the existence of the firm as institution for the organization of production, explore the nature of coordination within the firm, analyze organizational structure, focusing upon the implications of the knowledge-based view for hierarchy and location of decision-making authority and determine the boundaries of the firm. In making the comparison, a key distinction is made between the theory of knowledge -based of firm and the theory of transaction cost , which is the main stream theory at present. For one thing, The theory of TC does not take tacit knowledge into consideration, to some degree, but focuses much on the risk of opportunism.

据此，本文对企业理论所关注的企业的存在、企业的协调、企业的组织结构、企业的边界、企业的异质性等问题逐一进行了回答，比如，在企业知识理论看来，企业是一种将个人知识一体化的制度；企业的协调不仅是组织成员目标不一致而产生的需要，而且考虑到默会知识的存在，即使组织成员目标一致，协调仍是必要的；企业之所以具有异质性，其根本原因在于默会知识的难以模仿以及企业在生产过程中形成和积聚的知识的差异性，从而导致各个企业最终所积聚的知识和能力具有差异性。

This article begins from the studying of the learning sources, analyzing the multiple sources on the basis of knowledge flow. Then it describes the learning pattern, which realized by spired knowledge.

本文将技术学习的过程描绘成从学习到创新的过程，是沿着逆产品生命周期的轨迹进行的，也是学习、积累和产生知识的过程。

This paper presents a N-R method of acquiring multi-level reasoning production rules automatically based on NN, so as to resolve the bottle neckproblem in building a knowledge - based system-knowledge acquisition. This methodadopts a characteristic NN structure model and corresponding learning algorithm, so thatN -R method can fix the number of hidden nodes dynamically and form new conceptswhich are not defined in the sample set in the course of learning. Having been trained, NNis transforme...

本文为解决知识系统构造过程中的瓶颈问题──知识获取，提出了一种基于神经网络NN的自动获取多级推理产生式规则的N－R方法，该方法采用了特有的NN结构模型和相应的学习算法，使得NN在学习过程中动态确定隐层节点数的同时，也产生了样例集中没有定义的新概念，学习后的NN能用本文提出的转换算法转换成推理网络，最终方便地得到产生式规则集

Chapter three addresses to the interactions between Chinese and Western mathematics in early Qing dynasty, discussing especially over the complicated impacts of the "Kangxi Litigation on Calenders" and the way of Chinese methematicians' acceptance of western astronomical and mathematical knowledge.

第二章论述清代初期西方历算学知识传入中国的状况。着重分析了康熙年间西方数学知识在中国传播过程中取得的成果和遇到的挫折。第三章讨论清初中西数学之间的互动状况。论述了康熙历狱事件产生的复杂影响。

For enhancing the system performance, the simple bit-wise indexing method was applied to the manufacturing defect detection problem, time aspect for manufacturing domains. For improving the flexibility and accuracy, the encapsulated bit-wise indexing method is applied to the pattern matching module of an Internet intrusion detection system. To reduce the processing time, the compacted bit-wise indexing method is applied to the data-driven rough-set based feature selection. Additionally, the proposed feature selection method was adopted in a KA project to discover the desired feature sets to construct a CBR system for a world-wide financial group customer relationship management system's loan promotion function.

而这四个实际系统包含应用在制造过程中由於制程时间的问题所产生的产品缺陷之以遗传演算法之制造缺陷侦测系统、应用在网路入侵侦测系统中的入侵模式的挖掘与比对以提升系统弹性及效率、应用在以资料为导向之约略集合论特徵选取技术并使用於知识撷取系统上以节省执行时间及应用在半导体制造过程中用於缺陷侦测的资料挖掘系统以提升系统效能。

Different linguistics theories, such as structuralism, transformational grammar, functionalism, sociolinguistics, semiotics, philosophy, and psychology have contributed to new viewpoints, theories, methods, and...

翻译研究者们在现代语言学的结构理论、转换生成理论、功能理论、社会语言学、符号学研究、哲学、心理学等影响下，分别从不同的角度，试图对翻译这个古老的话题赋予新的含义，增添新的内容，从而提出新的研究方法、理论模式和翻译技巧语义结构是意义研究的一个新视角，指语言单位通过具体的运用而抽象出来的意义，产生于人们的语法结构知识与非语言的百科知识相合成的过程中，并由于语言符号而得以固定，是语义，语法，和语用的结合，三者不可分割。

与知识产生的过程相关的网络解释 [注：此内容来源于网络，仅供参考]

combination：结合

3.结合(Combination):结合新创造的以及组织其它部门已有的知识,将观念以系统化方式结合为知识体系的过程. 也就是将组织各部门之知识,透过分类、增加与结合来重新组合既有的知识,而透过将既有的知识加以分类,可以激发新知识的产生.

Evolutionary Epistemology：进化认识论

坎贝尔在 1974 年提出"进化认识论"(Evolutionary epistemology)一词,他对知识个体由"基因突变"到个体形成的过程进行了比较深入而系统的说明. 他指出,一开始的时候,产生潜在的新知识的过程是盲目的,因为认识主体并不知道(预见或预知到)他们会发现什么;

fluctuation：波动

这两个维度可以组合成五个促进条件:动力(intention)、自由(autonomy)、波动(fluctuation)或创造混沌(creativechaos)、冗余(redundancy)、必需的多样性(requisitevariety),从而构成了"知识产生过程的五阶段模型".

nose：鼻子

剪剪、贴贴、捏捏是每个幼儿都非常喜欢做的事,看看谁剪的最像,看看谁捏的最像,还要听听谁说的对,如剪贴小朋友的头像,要说先剪小朋友的头(head),再剪头发(hair),然后是眼睛(eye)鼻子(nose)等,这样可以激发幼儿在获取知识的过程中产生好奇欲望,

seismic wave：震波

经过这样的演示,可以生动形象地学习地震发生的过程,同时借助图解,学习相关的双语知识,如褶皱(folding)、断层(fault)、地震波(seismic wave)等等. 地理教学实际上很容易联系生活,联系生活就容易使学生产生兴趣,如>一课(Weather and Climate),

Technocracy：专家政治

知识共同体通过将其重新界定为技术或程序问题---最好是借助专家通过技术讨论过程来解决---而对非政治化问题产生影响. 这样,专家的知识和理解力就变成了参与、促进全球治理过程的基本通行证". 这就有可能在全球治理过程中导致一种"专家政治"(technocracy).

Intralingual Errors：语内错误

2、语内错误(Intralingual errors)在第二语言学习过程中,一个目的语项目对另一个项目产生影响,从而发生错误,它是目的语错误或不完整学习的结果. 学习者会根据以往所学到的知识创造出该语言中不正确或不存在的结构. 例如,

noegenesis：知识产生过程

nodus 节 | noegenesis 知识产生过程 | noegenetic 知识产生过程的

noegenetic：知识产生过程的

noegenesis 知识产生过程 | noegenetic 知识产生过程的 | noel 圣诞节

accessing：(进入)

他们将知识工作划分为4个连续的活动:进入(accessing)、产生(generating)、深化(embedding)、转移(transferring),并且观察了关键技能、技术和每项活动的过程.