neighborhood model 中文意思是什麼
neighborhood model
解釋
鄰式模型- neighborhood : n 1 鄰近 接近；附近；周圍。2 四鄰 街坊；街道 地區；聚居區。3 近鄰的人們。4 鄰居關系 鄰人的情誼 和...
- model : n 1 模型，雛型；原型；設計圖；模範；（畫家、雕刻家的）模特兒；樣板。2 典型，模範。3 （女服裝店僱...
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This paper try to combine fuzzy theory with the sphere neighborhood model, and then put forward a fuzzy algorithm based on csn ( covered with sphere neighborhood ). the performance of sphere neighborhood model is discussed and get deeply into in this paper
本文嘗試將模糊數學與球面領域覆蓋思想相結合，提出模糊球面領域覆蓋演算法來構造神經網路分類器，並對球面領域覆蓋思想作深入的研究分析。 -
Firstly, the three main harmful factors " characters and rules, theirs effect on civil house, demolishment criterion and control measure will be researched systemically. secondly, fuzzy mathematics, system arrangement analytical method and expert consultation method are put forward and discussed specially to set up civil house security fuzzy multi - arrangement elevation model, to evaluate blasting harmful factors " effect to neighborhood civil house ' s safety in the construction of express way, to predict the security of civil house and to bring forward control measures. lately, the forecast of the civil houses " safety by using bp neural net model and optimize of the blasting parameters will also be discussed in the dissertation
本文的主要研究工作有：系統地研究了爆破地震、爆破飛石、爆破空氣沖擊波三大有害因素的特徵及規律、對民房的影響、破壞判據和控制措施；提出並重點論述採用模糊數學和系統層次分析法及專家咨詢法建立民房安全性模糊多層次評價模型，對高速公路建設中爆破有害因素對鄰近民房安全進行評價，預測民房安全性，提出控制措施；利用bp神經網路模型對民房安全進行預測，並對爆破參數進行優化。 -
Recently a covering method for feed - forward neural network design has been proposed by professor zhang ling. based on the sphere neighborhood model, this method transforms the design of neural classifiers to a geometrical covering problem
近來張鈴教授提出了一種前饋神經網路設計的覆蓋方法，它以球面領域模型為基礎，使得神經網路的設計轉化為幾何覆蓋問題。 -
Based on systematical study of each constituent of iss, the foundation, computation and precision analysis of the models of geoid, sea surface topography, mean sea surface and ocean tide are mainly discussed ; the conceive of mean sea surface height model and ocean tidal model suitable to chinese near sea and its neighborhood is provided ; two kinds of iss model are derived out
本文在系統研究瞬時海面高各組成要素的基礎上，主要討論了大地水準面模型、海面地形模型、平均海平面模型和海洋潮汐模型的建立、計算以及精度評價等問題；提出了建立適於我國近海及鄰域平均海平面模型和海洋潮汐模型的設想；綜合得出了兩種瞬時海面高模型，並進行了精度估計，編制了相應的軟體。 -
Selecting a proper neighborhood system and using the ability of markov random field to describe spatial dependence, mrf can be used to model the structural and textural behavior of images. selecting a appropriate model and making use of the optimal algorithm ? simulated annealing to estimate the parameters, wonderful image restoration can be achieved
馬爾可夫隨機場能夠很好地描述空間連續性，用適當的鄰域系統，能對圖像的結構特徵建模；結合優化演算法?模擬退火，可以獲得滿意的圖像復原效果。 -
In the pretreatment of these images, the speckle noise model has been improved in this dissertation. on the basis of traditional methods of neighborhood averaging and low - pass filtering, the methods of adaptive histogram enhancement and the improved adaptive weighted median filter have been presented, and the noise has been reduced greatly
在圖像的預處理的過程中，論文首先改進了超聲圖像的speckle噪聲模型，其次在借鑒傳統的方法的基礎上，提出並實現了自適應圖像增強和自適應濾波處理方法，較好地抑制了噪聲。 -
In this dissertation, the research trends for the problem have been introduced ; the ‘ dim ’ and ‘ point ’ has been strictly defined in mathematics from machine vision and human vision ; the ideal clutter suppression system based on clutter predication and the realization and evaluation of evaluation index has been studied, in succession the clutter suppression technologies have been researched. firstly, the classic nonparametric algorithm has been analyzed in detail and systematically, for it ’ s weakness that it cannot remove the non - stationary clutter ideally, kalman filter algorithm for clutter suppression in 2d image signal has been built. secondly, fast adaptive kalman filter is presented based on fast wide - sense stationary areas partition algorithm : limited combination and division algorithm based on quarti - tree algorithm, new taxis filter route algorithm which can break through the limitation of the necessity of pixel neighborhood of 2d filter and laplace data model with two parameters which is perfectly suitable for the residual image of kalman clutter suppression
首先分析了經典的非參數法，對於四種具有代表性的核，從前述的三個性能評價方面做了分析和對比，指出了其速度快的優點和對非平穩圖像適應性差的弱點，針對非參數法的弱點，重點研究了對非平穩圖像適應良好的卡爾曼雜波抑制技術:建立了非平穩圖像的類自回歸模型，在此基礎上建立了二維卡爾曼濾波基礎的兩個方程:狀態方程和測量方程;建立了非平穩圖像準平穩區域快速劃分演算法:基於四叉樹法的有限分裂合併演算法;二維空間的基於k排序的濾波路線演算法，突破了空域濾波路線上區域相鄰的限制;在這些研究的基礎上實現了快速卡爾曼估計，實驗驗證了該方法相對逐點卡爾曼估計可以提高運算速度三倍左右;雜波抑制結果表明傳統的高斯性檢驗並不適合卡爾曼估計后的殘余圖像，由此建立了殘余圖像的雙參數拉普拉斯模型，實驗表明其可以完好的吻合殘余圖像的概率密度曲線。 -
Such contents were introduced as establish ment of analysis model of precision seed metering devices, seeds generation, neighborhood search & contact detection, data transfer and software integration, etc.
介紹了精密排種器離散元法分析模型的建立、種子的生成、鄰居搜索與接觸判定、數據傳遞及軟體集成方法。 -
The parameter of local model can be calculated by gradient descent in neighborhood with the sofm weight together, or estimated by least - squared estimation ( lse )
局部模型的參數既可和映射網路權值一起在鄰域內採用梯度下降法修正，也可結合最小二乘法得到其最佳估計。 -
Plenty of experiments show that it can effectively improve the synthetic speed of wl algorithm at the same quality. a method for automatic recognizing the size of neighborhood based on statistics is also presented, which can decrease the number of input parameters and be convenient for user ' s operating in texture synthetic algorithms sample - based using mrf model. finally, the future works about the technique of texture synthesis are introduced
通過大量的實驗表明，在合成質量與wl演算法相近的情況下，該方法使wl演算法的合成速度大幅度地提高，取得了良好的加速效果；運用統計分析的方法，針對採用mrf模型的基於樣圖的紋理合成演算法，給了一種鄰域大小自動識別的方法，進一步減少了紋理合成演算法的參數輸入數量，更方便了用戶的操作。 -
In the third, focuses are put on the analysis for the human visual features and the mechanism of the human visual recognition of the image object, the description of the image visual features with image neighborhood moments and the theory and the model for the segmentation based on the visual feature are presented
第三章論述人眼的視覺特性和人眼對圖像視頻目標的認識機理，同時也提出視覺特徵的鄰域矩特徵描述以及基於視覺特徵的分割模型和相關理論，最後進行整個分割系統的設計。 -
Parameterized modeling pays attention to the neighborhood of geometry graphics element, defining and modifying geometric model through constraints, which is fit to the design field characterized completely
參數化造型方法注重於幾何圖形元素的鄰域，使用約束來定義和修改幾何模型，適合於己完全特性化的設計問題。 -
An evolutionary iterated local search algorithm with the features of multiple neighborhood structures and population - based evolution is designed to solve the model
提出了一種基於多個鄰域結構和種群進化策略的進化迭代局部搜索演算法，用於求解該模型。 -
Up to now, because the setting - up of the hedonic price model needs to collect a large amount of data and carry on the extensive investigation, nobody process experiential research to study the quantitative relation between the housing characteristic and housing price at home through investigating buyer ' s partiality in location condition, building structure, neighborhood environment etc. how to apply the hedonic price theory to analyze the housing price of our country, structure the housing hedonic price model and study the urban housing market, that is exactly the problem that this dissertation attempts to solved
到目前為止，由於特徵價格模型的建立需要收集大量的數據和進行較為廣泛的調查，國內還沒有人通過對住宅購買者在區位條件、建築結構、鄰里環境等方面的偏好進行調查，實證研究住宅特徵和住宅價格之間的數量關系。如何把特徵價格理論應用於我國的住宅價格分析，構建住宅特徵價格模型研究城市的住宅市場，這正是本文試圖解決的問題。
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