象徵性環網 的英文怎麼說
中文拼音 [xiàngzhǐxìnghuánwǎng]
象徵性環網
英文
trd token ring d- 徵 : 名詞[音樂] （古代五音之一 相當于簡譜的「5」） a note of the ancient chinese five tone scale corre...
- 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
- 環 : Ⅰ名詞1 （環子） ring; hoop 2 （環節） link 3 （姓氏） a surname Ⅱ動詞（圍繞） surround; encircle;...
- 網 : Ⅰ名詞1 （捕魚捉鳥的器具） net 2 （像網的東西） thing which looks like a net 3 （像網一樣的組織或...
- 象徵性 : token; symbolic; emblematic
- 象徵 : 1. （用具體的事物表現某種特殊意義） symbolize; signify; stand for 2. （用來象徵某種特別意義的具體事物） symbol; emblem; token; type
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All the contents are developed around a set of scaling laws taking the form of exponentials which relate to almost all the issues of complexity including fractals, chaos, strange attractors, localization, and symmetry breaking, etc. the main work can be summarized as follows : starting from the law of allmetric growth three fractal dimensions in a broad sense are derived, and according to these dimensions, geographical space is divided into three levels, i. e., real space, phase space, and order space, each of which corresponds to a kind of dimension. based on the idea of spatial disaggregation and using the rmi ( relationship - mapping - reversion ) principle, the urban system is formulated as three scaling laws of the three spaces, including number law, size law, and area law, which can be transformed into a set of power laws such as allometric law and zipf ’ s law associated with fractal structure
從異速生長律的縱向、橫向和切向三個角度將地理空間劃分為實空間、相空間和序空間，分別對應于空間系列、時間序列和等級序列三個層面，每個層面的測度各有自己的空間維度。基於「空間循環細分-等級體系-網路結構」的數理等價關系，利用rmi （關系-映射-反演）原則，成功地實現了城市系統宏觀模型的理論抽象，將空間復雜性問題表徵為簡單的指數式標度定律（包括數量律、規模律和尺度律） ，這一組標度律可以與一組冪次定律（包括具有分形性質的規模-數目律、異速生長定律和三參數zipf定律）互為變換。Currently, image recognition has five primary methods : classical statistic model method, auto method based on information, auto method based on model, amalgamation of several sensors and manual neural network. how to improve the classical method and how to assemble different recognition method are still problems to be improved. based on the current research state, the classical statistic model recognition method and correlative knowledge are researched firstly
基於當前的研究現狀，本文以可見光和紅外儀器同步拍攝的不同環境下的運動車輛目標序列為對象，在深入研究了經典的統計模式識別方法及相關理論的基礎上，對車輛目標識別系統中的特徵提取和識別方法等方面做了較深入的研究，並對神經網路在車型識別系統中的應用作了試探性研究。
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