artificial classification 中文意思是什麼

artificial classification 解釋
人為分類法
  • artificial : adj 1 人工的，人造的；人為的 （opp natural）。2 摹擬的 （opp genuine real）; 不自然的，矯揉造作的...
  • classification : n 1 選別；分等，分級；分選。2 【動、植】分類（法）。 〈分類級別為： phylum 【動物；動物學】及 div...
  1. After long - term synthetic action of these factors, the complicated rock mass in the right dam foundation come into being. the adjoining rock engineering geological classification of water - conservancy and hydraulic - power project reconnaissance code ( gb50287 - 99 ), geomechanic system ( bieniawski, 1973 ), rock mass quality index z ( xiaowang, 1995 ), artificial neural network and field classification were used in the rock mass quality classification

    本文採用水利水電工程地質勘察規范（ gb50287 - 99 ）的圍巖工程地質分類、巖體rmr分類（ bieniawski ， 1973 ） 、巖體質量指數z分級（小灣， 1995 ）以及人工神經網路分類，對壩區巖體按其基本指標作出定量化評分、分級。
  2. To prove the performance of methodology, two artificial problems ( one classification problem and one regression problem ) as well as two real problems ( one classification problem and one egression problem ) were employed to verify the methodology

    並以二個人為?值?題（分?與?歸各一題） 、二個實際應用?題（分?與?歸各一題）加以驗證。
  3. Today the grouping is considered to be artificial and many taxonomists support the five kingdoms classification whereby the bacteria and fungi are both assigned to separate kingdoms, while algae and protozoans constitute various phyla of the kingdom protoctista

    如今這種分類被認為是人為化的，而且許多分類學家支持五界分類系統，在該系統中細菌和真菌分別為獨立的界，而藻類和原生動物構成原生生物不同的門。
  4. The purpose of this subject deals with the biological characters of megalobrama skolkovii dybowsky according to the results of convey of nature resource in heilongjiang waters, capture and transportation of brood fish, outer appearance, study of countable and measurable characters and all inner system, analysis of muscle composition, study of chromosome, and discuss the classification status, and also carried out the artificial fertilization

    本課題通過對黑龍江魴進行資源調查、親魚采捕和運輸、外部形態、外部可數及可量性狀和內部各系統的研究、肌肉成分的分析、染色體的研究等實驗，重點研究黑龍江魴的生物學特性，並對黑龍江魴的分類地位進行了探討，同時對黑龍江魴進行了人工繁殖。
  5. Data mining is an important research subject in the field of information technology. it means a process of nontrivial extraction of implicit, previously unknown and potentially useful information from data in databases or datawarehouses. it involves such subject areas as database, artificial intelligence, machine learning and statistics. classification analysis is an important data mining problem

    數據挖掘（ datamining ）是信息處理技術研究領域的一項重要課題。它是指從大型數據庫或數據倉庫中提取隱含的、未知的、非平凡的以及有潛在應用價值的信息或模式的過程。
  6. This method can reflect local signal feature and well perform in the experiments. we also present an integrated electromyographic signal ( emg ) pattern recognition scheme. the application of an artificial neural network ( ann ) technique together with a feature extraction technique, for the classification of emg signals is described

    利用高階譜技術提取肌電信號的特徵信息，然後利用奇異值或者其它方法對二維特徵矩陣進行優化，將優化之後的一維特徵向量輸入神經網路分類器進行模式識別，這種方法能夠初步識別不同模式的上肢運動。
  7. Finally, each category of the classification system is that : 1 ) the extent of human activities as the first class : natural wetland landscape, half natural wetland landscape and artificial wetland landscape ; 2 ) geomorphology as the second class : flood land, depression, valley and terrace ; 3 ) marsh wetland vegetation as the third class, which amalgamated with the way of indistinct assemble classification

    從而建立了一套完整的景觀生態制圖分類系統:第一級按人類活動影響程度劃分為:自然濕地景觀、半自然濕地景觀、人工濕地景觀;第二級按地貌劃分為:河漫灘、階地、湖濱、窪地、谷地;第三級對沼澤濕地植被25種類型進行模糊聚類歸並，得出不同比例尺的地圖制圖景觀類型。
  8. Rough set theory is a data mining approach capable of dealing with incomplete and inaccurate data, and it has been successfully applied to artificial intelligence and knowledge discovery, pattern recognition and classification, and fault detection

    粗糙集理論是數據挖掘的方法之一，它是處理模糊和不確定知識的一種數學工具，已在人工智慧與知識發現，模式識別與分類，故障檢測等方面得到了較好應用。
  9. Classification rule discovering with artificial fish - swarm algorithm

    基於人工魚群演算法的分類規則發現
  10. This study employed six data mining methods, including logistic regression, discriminant analysis, artificial neural networks, k - nearest - neighbors, na ? ve bayes classifier, and classification trees, to find the most important factors of earthquake - caused landslide

    本研究利用六種資料探勘方法，包括邏輯回歸、判別分析、類神經網路、最近鄰法、貝氏分類器、分類樹，探討影響地震引起山崩的重要因子。
  11. In this thesis, two kinds of load density forecast methods are introduced, classified - divisional load density method and classification method based on artificial neural network and fuzzy theory

    本文介紹了兩種負荷密度預測方法：分類分區預測法及基於神經網路和模糊演算法的聚類分析方法。
  12. Allowing for the factors affecting the load forecast in the practical engineering project, i compare the characteristic and their applicability of the above spatial load forecasting methods, and then get the following results. the classified - divisional load density method has tendency to be affected by human factors, but the classification method based on artificial neural network and fuzzy theory can make up with this fault

    考慮到實際工程項目中影響負荷預測的各種因素，我對上述幾種空間負荷預測方法的特點和適用范圍進行了分析比較，認為分類分區預測方法受人為因素影響太多，特別是對于缺乏歷史數據的新區進行負荷密度預測，往往不能得到滿意的結果，而基於神經網路和模糊演算法的聚類分析方法可以彌補這一缺陷。
  13. A model of spatial decision support system based on spatial data mining was established after making research on application and integration of spatial data mining, " 3s " technology and environment model, which include designing of data base, knowledge base, model base and their management system, inference engine and intelligent data mining engine ; 2. a model using artificial neural networks to forecast in coast environment in fujian was established, and a method applying multivariate decision tree to remote sensing classification was presented ; 3. a novel and shortcut method realizing artificial neural networks was presented, and then we put forward method realizing decision tree and realized it in prototype

    論文的主要內容概括起來有： （ 1 ）對空間數據挖掘技術、 「 3s 」技術、環境模型在空間決策支持系統中的應用與集成進行了研究，提出了一種基於空間數據挖掘的環境調控空間決策支持系統的模型，包括模型庫及其管理系統、知識庫及其管理系統、數據庫及其管理系統、推理機以及數據挖掘智能引擎等的設計； （ 2 ）建立了人工神經網路在福建省海岸帶環境預測中應用的模型，提出了復合決策樹演算法在遙感分類的應用方法； （ 3 ）提出一種新穎的、簡便快捷的人工神經網路的實現方法，以及決策樹的實現方法，並在原型系統中作了實現。
  14. Artificial neural network together with gas sensors, which is applied to identification, classification, diagnosis and prediction, will further improve the intelligence of gas detection system

    人工神經網路與氣體傳感器相結合，用於識別、分類、診斷和預測，將進一步提高氣體檢測系統的智能水平。
  15. Artificial neural network is a system composed of many computational elements that are connected through an appropriate set of weights for generating complex decision surface. so it can be used in pattern classification

    人工神經網路是由許多以一定權值相互連接的計算單元組成的系統，它可以生成復雜的判決邊界，所以適用於信號分類。
  16. The important research is about the theory and methods of the cluster analysis in view of statistical theory, the theory and methods of fuzzy cluster analysis, the fkn " s structure and the fkn ' s study algorithm ( fkn, fuzzy kohonen network ) - the organic fusion of the fuzzy c - means algorithm and self - organized feature map neural network. the paper proposes the ifkn ( improved fkn ) on the basis of the hard classification idea and the soft classification idea, then carries on the cluster analysis of the artificial synthetic control chart time series through matlab program and tt ? cluster result matches the cluster result of the famous dataengine " s software of the intellectual data analysis and data mining from german mit company. finally, the paper discusses the applying of the cluster analysis to the control process, which can be widely applied to the pattern recognition of the parameter " s changing trend during the control process and the image partition processing, and utilizes the ifkn to recognize the thermotechnical parameter " s changing trend based on the engineering of clinker sintering rotary kiln automatic control system of guizhou " s aluminium factory, through which good effect is obtained

    數據挖掘技術在商業領域中已廣泛使用，然而在工業過程式控制制中的應用卻極少，本文正是在這種背景下，對數據挖掘中的聚類分析方法及其在工業過程式控制制中的應用研究作了償試，重點研究了基於統計理論的聚類分析理論和方法，模糊聚類分析理論和方法及模糊kohonen網路（ fkn ）的結構與學習演算法，即模糊c ? ?均值演算法與自組織特徵映射神經網路（ kohonen網路）的有機融合，並根據硬分類思想及軟分類思想提出了改進的模糊kohonen網路（ ifkn ） ，通過matlab編程對人工合成控制時序圖數據集進行聚類分析，其聚類效果與當今廣泛使用的數掘挖掘軟體平臺，德國mit公司著名的dataengine智能數據分析和數掘挖掘軟體的聚類效果相當，最後，論述了聚類分析在控制中的應用，它可以用於過程式控制制中的參數變化趨勢的模式識別及圖象分割處理等具體應用中，並以貴州鋁廠熟料燒結回轉窯自動控制系統為工程背景，利用ifkn識別其熱工參量變化趨勢，取得了較理想的效果。
  17. To deal with the two - class classification problem, a new strategy of integrating the genetic algorithm and the lvq artificial networks is adopted to reduce the dimensions in high dimension space. using this method, the classification accuracy is 100 % to leukemia dataset, and 91. 27 % to clone cancer dataset

    把遺傳演算法和lvq神經網路結合進行高維空間的特徵選擇，以解決兩類別的樣本分類問題，並利用白血病和大腸癌基因晶元數據進行了實例計算，分別達到了100和91 . 27的準確度。
  18. Artificial classification systems are designed to aid identification, and may not reflect true relationships. e. g

    人工分類系統的目的僅僅是為了辨別植物，它並不能反映物種之間真實的關系。
  19. Data mining is the key step of kdd, which concerns on database, artificial intelligence, and statistics, etc. classification is the important content of data mining, which assigns dataitems in databases to a special class by constructing a classification function or model ( also be called classifier ). therefore, we can predict the unlabelled object classes with the classification model

    分類是數據挖掘的一個重要內容，它通過構造一個分類函數或分類模型（也常稱作分類器） ，把數據庫中的數據項映射到給定類別中的某一個，從而能夠使用該模型來預測類標號未知的對象類。
  20. Classification and identification of communication signal using artificial neural networks

    基於人工神經網路的通信信號分類識別
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