deep computing 中文意思是什麼
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The low efficency arise from two factors : one is that we do n ' t understand multibody system as deep as possible, resting on " there are so many trees as one ca n ' t see the forest ". the other is that the algorism should hardly avoids void computing possiblly - - adding, minusing or multipling by zero, and ca n ' t reach the precision computing - - each computing is necessary, and the latter computing use the formal results as it can as as possible
計算效率不高的原因有二、一是對機械多體系統認識深刻程度不夠，停留在「只見樹木，不見森林」的層次上；二是演算法上應該竭力避免虛運算? ?與零相加減、與零相乘和重復運算等，但由於多體系統動力學的復雜性、強非線性和人們對其認識現有深度的不夠，故未能實現所謂的「精益運算」 ? ?每步運算皆為必須，且后續運算應盡能借用已有結果。 -
The conclusion is that when, the energy group g will be supercritical, so the iteration will not converge and the computation will fail. it ' s not appropriate to set - to the left side of neutron transport equation when computing in deep subcritical system. the r indirect method deals with / v according to actual situation
本文從定量計算和定性分析兩方面研究了深次臨界情形下本徵值計算存在困難的原因，指出當滿足關系_ （ t ， g ） + / _ g _ （ s ， g g ）時，對該能群來說可能會處于單能群意義上的超臨界，導致迭代發散，計算失效。 -
Especially, a deep research is paid to integral. an algorithm for computing area of regions bounded by quadratic nurbs curves is presented
特別是對由求積演算法深入地研究，可進行二次nurbs曲線下面積的計算，並導出面積的精確計算公式。 -
Notably, ibm has seconded distinguished scientist and father of the " deep blue " supercomputer, professor cj tan, to lead eti as institute director. competent r & d teams have created innovative solutions in the areas of wireless security, rfid, supply chain management technology, pervasive computing, e - payment systems, xml data integration and management, business intelligence and data mining
更值得一提的是， ibm委派了著名科學家、 「深藍」之父譚崇仁教授作為研究所所長。 eti強大的研發隊伍已經在無線安全、 rfid 、供應鏈管理、普及計算、電子支付系統、 xml資料集成與管理、商業智慧（ bi ）及資料挖掘等領域取得了卓越的成果。 -
Notably, ibm has seconded distinguished scientist and father of the " deep blue " supercomputer, professor cj tan, to lead eti as institute director. competent r d teams have created innovative solutions in the areas of wireless security, rfid, supply chain management technology, pervasive computing, e - payment systems, xml data integration and management, business intelligence and data mining
更值得一提的是， ibm委派了著名科學家、 「深藍」之父譚崇仁教授作為研究所所長。 eti強大的研發隊伍已經在無線安全、 rfid 、供應鏈管理、普及計算、電子支付系統、 xml資料集成與管理、商業智慧（ bi ）及資料挖掘等領域取得了卓越的成果。 -
Based on power consumption of wearable computing system and combined with the research and design of wearable computer, this thesis is focusing on a relatively deep study of low power consumption design of wearable computing system to offer some hints for wearable computing low power design from software angle
本文針對可穿戴計算系統的能耗問題，結合可穿戴計算機樣機的實際研製過程，對可穿戴計算系統低功耗設計方法進行了較為深入的研究，為可穿戴計算從軟體角度進行低功耗設計提供一些借鑒和參考。 -
Along with the development of computer network technology and distributed application going deep into use, it is vendor ' s impending demand to migrate the proprietary client - server model to three tier software architectures, which has emerged as the dominant computing paradigm in the decade
隨著計算機網路技術的發展和分散式應用的迅速普及，將應用從客戶端服務器模型向客戶端中間件服務器三層模型進行轉移已成為用戶的迫切需求，也是當今計算機技術發展的一個主流趨勢。 -
In this paper, the artificial neural networks are considered as a structure set of the neurons. based on this point of view, we make a comprehensive and deep researching on the hopfield model neural network of associative memory with hebbian learning in three aspects, i. e., analyzing, describing and computing of the symmetry of the system, thus discovering the storing mechanism of the hebbian learning rule. which give a deeper understanding to the associative memory mechanism of artificial neural network
本文將人工神經網路視為神經元的結構集，並從這個基本觀點出發，從三個方面，即對稱性的分析、表示以及計算，對hebb型的離散hopfield模型神經網路進行全面的、深入的研究，揭示了hebb法則這種特殊的存儲規則的機理，並以此來達到加深對整個網路的聯想記憶機理認識的目的。 -
Lesson engineering measure for research mainly from the sloping fields flow recycling potential analysis with gathering the water technique the both side collecting the region ' s rain - storm flood the data, year declining the water year the flow the data and water and soil conservation data, analysis combine intoing the small river valley flood the path comparing coefficient, water and soil conservation not flow coefficient, revising the new concept of deep etc. flow of year path, establishing synthesizing solving the sloping fields flow recycling the potential computing the model, bring upping gathering the water technique is with the
課題研究主要從坡地徑流資源化潛力分析和集水技術兩方面入手，以典型區域為代表，收集了該地區暴雨洪水資料、年降水年徑流資料及水土保持資料，分析並引入了小流域洪徑比系數、水土保持不產流系數、修正年徑流深等新概念，建立了綜合解決坡地徑流資源化潛力計算模型，提出了集水技術的工程措施和方法。
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