面積歸一化法 的英文怎麼說
中文拼音 [miànjīguīyīhuàfǎ]
面積歸一化法
英文
area normalization method- 面 : Ⅰ名詞1 (頭的前部; 臉) face 2 (物體的表面) surface; top 3 (外露的一層或正面) outside; the ri...
- 積 : Ⅰ動詞(積累) amass; store up; accumulate Ⅱ形容詞(長時間積累下來的) long standing; long pending...
- 歸 : Ⅰ動詞1 (返回) return; go back to 2 (還給; 歸還) return sth to; give back to 3 (趨向或集中於...
- 法 : Ⅰ名詞1 (由國家制定或認可的行為規則的總稱) law 2 (方法; 方式) way; method; mode; means 3 (標...
- 面積 : [數學] area
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34 chemical constituents of the essential oil from cortex cercis chinensis were separated and identified by gc - ms. the relative contents of them were determined by area nomaliation
摘要採用水蒸氣蒸餾法從紫荊皮中提取揮發油,用氣相色譜質譜聯用技術對其揮發油成分進行分析,共鑒定了34個成分,並用面積歸一化法確定各成分的相對百分含量。During the procedure of system design and implementation, the author has made some innovative efforts such as : ( d establishing the user interest orientated model, the model receiving user interests continuously and conjecturing user interests by interaction with the user, accumulating user preferences in information demand, thereby achieving self - adaptive retrieval, ? roviding a feedback method which is based on the human - machine interaction, summarizing the user operations on the interface of result presentation, and designing an algorithm for capturing user operation behaviors, by which the changes in user interests and preferences can be learned potentially, ? ffering a method for user interest mining which can extract subjects of information confirmed by user, thereby conjecturing or predicting different kinds of expressions of the same interest or extracting the new interests or unexpressed interests, ? roposing a solution of personalized internet information retrieval based on the user interests in accordance with the above - mentioned work, the solution having very strong feasibility and practicality with taking user interest model as center, employing machine learning ( active learning and passive learning ) and data mining as tools, and being assisted with network robot,
Piirs系統分析與設計過程中所做的創新性的嘗試主要有以下幾個方面:實現了基於用戶興趣的用戶模型,該模型通過與用戶的交互(主動交互和被動交互) ,不斷地接收用戶的興趣和推測用戶的興趣,積累用戶信息需求的偏好,實現自適應的檢索;提供了一種基於人機交互的反饋方法,對用戶在結果呈現界面上的操作進行了歸納總結,設計了用戶操作捕獲演算法, 「隱性地」學習用戶興趣和偏好的變化;提供了一種用戶需求挖掘的方法,對用戶已確定的信息做進一步的主題挖掘,由此推測或預測用戶同一興趣的不同表述方式或者挖掘出用戶新的或未表達出來的興趣;在上述工作基礎上提出了一套完整的基於用戶興趣的個性化網路信息檢索的解決方案,該方案以用戶興趣模型為中心,以機器學習(主動學習和被動學習)和數據挖掘為手段,輔以網路機器人,具有很強的可行性和實用性。This research deeply reflects the students in senior one whose chemical self - efficiency sense current situation and attribution inclination in chemical study, the characteristic and specific situation formation ( the background, precondition ), to carry on students " attribution training during chemical teaching in view of the above ; combining group coach with specific training, facing all students and choose the typical individual to track at the same tune, and to accumulate cases ; giving full play to students " conscious activity through writing diary by reflective thinking or brief summary on learning and setting up chemistry learning file, etc to strengthen one " s own consciousness, learn to regulate oneself ; to evaluate the effect of attribution training, that is, chemistry - learning efficiency, the author actively try combining subjective evaluation with objective evaluation, teachers " evaluation with students " own
本研究較深入地了解到高一學生對化學學習的自我效能感現狀,高一學生在化學學習中的歸因傾向、特點及其形成的特定情境(背景、前提條件) ,並據此在化學學科教學中對學生進行心理歸因訓練;採用團體輔導與個別訓練相結合,面向全體學生同時選擇典型個體進行追蹤,積累案例材料;充分發揮學生主體的主觀能動性,通過寫反思日記或學習小結、建立化學學習檔案等方法,強化自我反思意識,學會自我調節:積極嘗試主觀評價與客觀評價、教師評價與學生自我評價相結合的方式,對歸因訓練效果即化學學習效能進行了評價。On this basis, adopt the plural linear regression method, regard peasant ' s per capita income as the dependent variable, per capita agricultural land area, unit agricultural land area chemical fertilizer use amount, agriculture total value account for gdp proportion and land degradation the index data ( land degradation fictitious variable, land degradation percentage and land degradation the array variable of the degree ) as the independent variable
在此基礎上,採用多元線性回歸方法,以農民人均收入為因變量,人均農業用地面積、單位農業用地面積化肥使用量、第一產業總值佔gdp比例和土地退化指標(土地退化與否的虛擬變量、土地退化百分比和土地退化程度的序列變量)為自變量來分析。Adopting the actual county - grade database of land use firstly founded in china, combining with the comprehensive influential factors of land use change, using the correlative statistic software and the mathematic analytical methods ( principal component analysis, gray relating analysis, multivariate time series markov chain analysis, multivariate regression analysis, gm ( 1, 1 ) gray model, gray series gm ( 1, n ) model methods etc ), this paper analyses the dynamic change of land use and driving force in jiang ' an county qualitatively and quantitatively. the results indicate : 1 the land resource per capita and the area of single - land - use type in jiang ' an county are not prior to other places in yibing city or sichuan province. however, the terrain is dominant in choosing the way of land use
本文採用全國首批建立的「縣級土地利用現狀數據庫」的基礎數據,結合影響土地利用變化的經濟、社會、環境等綜合因素,採用相關分析軟體( dps 、 spss )和數學分析方法(主成分分析、灰色關聯度分析、多元回歸分析、多元時空序列馬爾柯夫鏈分析、 gm ( 1 , 1 )預測模型分析、灰色序列gm ( 1 , n )模型分析等方法) ,對江安縣土地利用變化及其驅動力進行定性、定量研究,研究結果表明: 1江安縣人均總的土地資源數量和單一土地利用類型的數量在宜賓或四川省區域內均無優勢;地形對土地利用方式的選擇起著主導作用;土地利用變化的總趨勢是:耕地、林地、交通用地和水域面積不斷減少,居民點及工礦用地和未利用地面積不斷增加;景觀多樣性指數呈現「 」趨勢。Because of modis predominant space and spectral differentiate rate, it ’ s has been broadly applied to various field, in the aspect of snow monitoring, modis has been successfully using a normalized difference snow index ( ndsi ) to provide global automated binary maps of snow cover. the ndsi is a spectral ratio that takes advantage of the spectral difference of snow in short - wave infrared and visible spectral bands, although it has higher precision, it can only discern one pixel to snow or other features, can not satisfy accurate drainage basin snow cover mapping and snow parameter extracting
Modis數據因其優越的空間解析度、波譜解析度,已被廣泛的運用於各個領域,在積雪監測方面,已成功地運用歸一化差分雪蓋指數( ndsi )製作每天的全球雪蓋分布圖, ndsi是基於雪對可見光與近紅外波段的反射特性和反射差相對大小的一種測量方法,然而它只能將一個像元辨別為積雪或非積雪,滿足不了高精度應用要求。They are agricultural productive materials price growth rate, sown area of grain crops growth rate, grain yield per area growth rate -, natural disaster covered grain areas growth rate, net grain import change rate, grain reserve change rate, population growth rate, per income growth rate, city and town population growth rate, food industry production value growth rate, year - end pig number growth rate, medical & pharmaceutical and textile industry production value growth rate, grain marketization degree, inflation rate using the previous year as base year ( preceding year = 100 ), public grain purchases price growth rate, investment in agricultural science and technology growth rate, investment in agricultural infrastructure growth rate, growth rate of graduates number from agriculture, forestry, science & technology universities and colleges and specialized secondary schools, government expenditure for agriculture and agricultural credit growth rate, international grain price growth rate, rmb exchange rate growth rate, last grain price growth rate, economic crop price growth rate, meanwhile, a new method is attempted to be used in this paper and the grain price early - warning problem is transformed into machine learning problem by introducing statistic learning theory and svm method which are gaining popularity in machine learning field at present in the world
在此基礎上,篩選出23個警兆指標:農用生產資料價格增長率、糧食播種面積增長率、糧食單產增長率、糧食受災面積增長率、糧食凈進口量變化率、糧食儲備變動率、人口增長率、人均收入增長率、城鎮人口增長率、食品工業產值增長率、豬年末頭數增長率、醫藥紡織工業產值增長率、糧食市場化程度、以上年為基年的通貨膨脹率、國家糧食定購價格增長率、農業科技投入增長率、農業基礎設施投入增長率、農、林、科技高校大、中專畢業生人數增長率、財政支農資金比重及農業信貸增長率、國際糧食市場價格增長率、人民幣匯率增長率、上期糧食價格增長率、經濟作物價格增長率。同時論文在預警方法上作了新的嘗試,把糧食價格預警問題轉換成一個機器學習問題,引進當前國際上機器學習領域中比較熱門的統計學習理論和支持向量機方法,用順序回歸演算法對歷史數據進行學習建立了糧食價格預警模型。Area normalization method
面積歸一化法The contents of the fatty acids were determined by using the normalization method
用峰面積歸一化法得出各類脂肪酸的相對百分含量。This method can only be applied to roughly test impurity content of test samples due to relatively big deviation produced by peak area normalization method
由於峰面積歸一化法測定誤差大,因此,本法通常只能用於粗略考察供試品中的雜質含量。The traction - free condition on the crack line is mended to get more accurate results. it can be expressed by a series of integral equations which can be discretized to a set of linear equations and then it can be solved easily. stress intensity factors ( sif ) are gotten through the root of the linear equations
( 2 )推導了遠場應力、熱應力耦合作用下含夾雜裂紋體的應力強度因子求解公式,改進了體積力法中的裂紋面合力平衡條件,將應力強度因子的求解歸結為解一組積分方程,再將積分方程轉化為線性方程組進行數值求解。Answer : contract of commodity house business ought to make clear the following and main content : ( one ) party name or full name and abode ; ( 2 ) commodity house is basic state ; ( 3 ) the sale means of commodity house ; ( 4 ) the certain kind of commodity house money paid for something purchased or received for something sold and total prices money, payment, pay time ; ( 5 ) consign use condition and date ; ( 6 ) standard of adornment, equipment ; ( 7 ) the water supply, power supply, heat addition, pay promises that lights the infrastructure of form a complete set such as gas, communication, road, afforest and public facilities and concerned rights and interests, responsibility ; ( 8 ) property right of architectural of communal form a complete set is attributive ; ( 9 ) the processing means of area difference ; ( 10 ) conduction property right registers concerned matters concerned ; ( 11 ) the method that settles dispute ; ( 12 ) responsibility of breach of contract ; ( 13 ) the any other business of bilateral agreement
答:商品房買賣合同應當明確以下主要內容: (一)當事人名稱或者姓名和住所; (二)商品房基本狀況; (三)商品房的銷售方式; (四)商品房價款的確定方式及總價款、付款方式、付款時間; (五)交付使用條件及日期; (六)裝飾、設備標準; (七)供水、供電、供熱、燃氣、通訊、道路、綠化等配套基礎設施和公共設施的交付承諾和有關權益、責任; (八)公共配套建築的產權歸屬; (九)面積差異的處理方式; (十)辦理產權登記有關事宜; (十一)解決爭議的方法; (十二)違約責任; (十三)雙方約定的其他事項。分享友人