神網 的英文怎麼說
中文拼音 [shénwǎng]
神網
英文
kamioka-
Abstract : artificial neural networks has been applied to simultaneous determination of fluorene and acenaphthene by ultraviolet spectrophotometry. after compared the results of the synthetic samples obtained from the method above mentioned with those from partial least squares ultraviolet spectrophotometry, it shows that satisfied prediction can be obtained by them
文摘:用人工神經網路-紫外吸光光度法不經分離同時測定芴和苊，並與偏最小二乘-紫外吸光光度法比較.對合成樣品進行分析.結果表明，人工神經網路法同偏最小二乘法一樣能獲得滿意的分析結果Finally, the controller working based on the combination of rbf neural networks and traditional pid control was applied to in aclinic kinetic machinery and lifting machinery of tower crane. the simulation of this controller was made using matlab, and the simulation results showed that the control system has some merits, such as quick response, little overshoot, well anti - jamming capacity, and little steady - state error, etc. both the dynamic property and static characteristic of this controller are better than traditional pid controller, and meet the tower crane
應用matlab對塔機的變幅和起升機構的運動控制進行模擬，模擬結果表明基於rbf神經網路整定pid的控制系統具有響應快、超調小及穩態誤差小等優點，其動、靜態性能優于單一pid控制，從而提高了塔式起重機工作機構的工作性能。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。The procedure functions in the compare between partial image of dynamic collection and corresponding image of the airscape. in chapter 5, basing on the analysis of correlative theory of digital image, we introduce the improved fasted - down algorithm and simulative anneal algorithm, which applies to nn calculation, an d bring forward the unique and effective means, correlative original value evaluation. basing on the combination of correlative arithmetic, a stable, high - speed and exact correlative arithmetic is formed, which makes it possible to apply computer vision detection of single - needle quilting in industrial production
本文展開研究並取得一定成效：構建了基於pci總線的微機實時圖像採集系統；在採集的布料總圖（鳥瞰圖）的基礎上，通過數字圖像的數字濾波、圖像增強、邊緣檢測等處理，提取布料圖像的邊緣，對輪廓的矢量化的象素點進行搜索，得到相應的圖案矢量圖，從而確定絎縫的加工軌跡，生成加工指令；在進給加工過程中，主計算機對動態局部圖像與總圖（鳥瞰圖）的對應部分進行圖像相關的匹配計算，應用數字圖像理論，結合神經網路計算的改進最速下降法和模擬退火演算法，提出獨特而有效的相關迭代初始值賦值方法，形成穩定、高速和準確的相關運算，實現單針絎縫視覺測量和自動控制。Based on this, through a lot of yeast, e - polylysine ferment experiments and analyzing the data, comprehend the universality rule of animalcule ferment ; advanced soft - measure model, estimate the parameter non - measurable online, including the parse model based main - regression analyze, the ann model based ann arithmetic. guide the fed - batch control and environment parameter by the optimized track. to advance the last gain, identify the fermentation phase
在此基礎上，經多次酵母發酵實驗、聚賴氨酸發酵實驗及對大量實驗數據的分析，深入了解了微生物發酵的一般性規律；建立了微生物發酵過程的軟測量模型，對不可在線測量的生物參數進行估計，包括由主元回歸分析得到的解析式模型，由神經網路演算法得到的神經網路模型。The university is a global - information place to the great extent, in which university students are the closest group to the network, they are not only the anticipators and propellers, but also the creators of the network, with the widely use of network in the university education, the culture of network is popular quickly in the campus. how to eliminate the passive effects of u. s and other western nations, occupy the network field adequately, strengthen and improve morality work is a important subject that we will face with in the new century. so the morality workers must face to the future, research the law of the network on the theory deeply, and probe morality work ' s new methods, new patterns, and new ways, at the same time, we also must show our spirits in order to create new situation
隨著網路技術在高等教育中廣泛應用，網路文化在大學校園中迅速普及。如何最大限度地消除美國等西方敵對勢力利用網際網路等的負面滲透，充分佔領網路陣地，正面創新高校德育工作是我們在新世紀面臨的重要課題。對此，高校德育工作者必須站在時代的高度，在理論上深化對網路德育工作規律的研究；在實踐上勇於探索網路時代德育工作的新方法、新模式、新途徑，以創新的精神開創網路時代高校德育工作的新局面。We use artificial immune principles to design a novel antibody network which based on the immune algorithm and neural network, and use these as in - depth research of the application of our achievement to engineering. in this paper, we built the novel antibody network which based on the two intelligence algorithms and reach the application of its use in the intrusion detection system. furthermore we create an ideal antitype system from it
本課題以人工免疫系統和神經網路為研究對象，並依託四川省科技廳基礎項目「智能入侵檢測系統的關鍵技術研究」 （項目編號: 04jy029 - 017 - 1 ） ，將人工免疫原理和神經網路技術相結合，提出了應用於入侵檢測系統的新型抗體網路，為該項目在工程領域中的進一步研究、應用提供理論依據The two - dimensional henon chaotic nonlinear map is effectively controlled by the proposed approach. secondly, because of the distinguished advantages, such as rapid convergency and strong approachability, the rbf networks is trained as chaotic controller by ogy scheme, then successful of controlling the henon chaotic map
其次，利用一種學習過程收斂速度快、擬合能力強的rbf神經網路，以ogy法為依據，訓練網路成為混沌控制器，仍以henon映射作為混沌控制對象，對其混沌行為實施了成功控制。Evaluating aseismatic design of old buildings by using ann analysis
基於神經網路理論的房屋兩級抗震鑒定法Abstract : based on a numbers piled up for varies resources ( labor, materials, mechines ) in neuron plan, a composed distribution for various resources was obtained. then, using time difference and quantities of materials, the best selected work and time started as astrictive conditions, the best optimum distribution which satisfied variou resources in difference optimodel and astrictive conditions was got
文摘:將多種資源（人工、材料、機械）的數量同時在神經網路計劃技術上實行數字化疊加，從而獲得多資源疊加的合成分佈，再利用神經網路計劃技術中各個工作的不同時差和資源數量，按收斂條件選擇最佳開工工作和開工時間，滿足多種資源在優化模式中按收斂條件進行最優分佈Starting with the astronomic factors which induce the tide phenomenon, this paper introduces a method of nonharmonic analysis neural network to predict tide, and this method is used to calculate the real tide of 2002 at hongkong tide station and the result are compared to the observed data
摘要文章運用非調和法，直接從引起潮汐現象的天文因素入手，以2002年香港驗潮站實測資料為例，用神經網路對潮汐知識進行了學習模擬，對未知結果進行了預報。Third, however, the automaticity of artificial neural network can also be a weakness on the view from another angle
人工神經網路的自動性在另外一個角度也會成它的一個弱點。The sage, gno and gallex all used gallium for the detection. another one was the super - kamiokande which was 30 times larger than kamiokande ii and used highly purified water. the sudbury neutrino observatory, built at a depth of 2 km in ontario in canada, used heavy water d
各個不同的測量太陽中微子實驗室在八九十年代如雨後春筍般興建，例如利用鎵原素的sage gno及gallex ，比神崗2號大30倍，利用高度純水的超級神網號，以及位於加拿大安大略省地底2公里，利用重水的sudbury neutrino observatory 。Since the experiments of both davis and kamioka could only detect electron - neutrinos, the neutrino number was therefore much lower than expected
但戴維斯及神網的實驗只能測量電子中微子，所以測量到的中微子數目遠比預期為少。Workers inspecting the photomultipliers inside
工作人員檢視超級神網號內的Artist s concept of the super - kamiokande
畫家筆下的超級神網號No. 81, lane 61, tafu rd., shenkang hsiang, taichung hsien, taiwan 429
429臺中縣神網鄉岸里村大富路61巷81號Akechi railway nagaragawa railway
神網鐵道Kamioka, situated 300 km west of tokyo of japan, was originally planned to construct a laboratory for the purpose of studying proton decay. the detector was called kamiokande kamioka nucleaon decay experiement. it was ultimately turned into the second solar neutrino detector in history with the assistance of usa in 1984 and was renamed kamiokande ii
座落於日本首都東京以西300公里的神網，本來計劃興建一座大型實驗室用作研究質子衰變，這實驗裝置稱為神網號，后來於1984年在美國協助下，它被改建為有史以來第二個探測太陽中微子的實驗室神網2號。Performance forecast of centrifugal pump by bp neural network
神網路的離心泵性能預測分享友人