擬人化思維 的英文怎麼說

中文拼音 [rénhuàwéi]
擬人化思維 英文
anthropomorphic thinking
  • : 動詞1. (設計; 起草) draw up; draft 2. (打算; 想要) intend; plan 3. (模仿) imitate
  • : Ⅰ動詞1 (思考;想) think; consider; deliberate 2 (思念; 懷念) think of; long for Ⅱ名詞1 (思路...
  • : Ⅰ動詞1 (連接) tie up; hold together; link 2 (保持; 保全) maintain; safeguard; preserve; keep ...
  • 擬人化 : anthropomorphism
  1. Scientific computation visualization interactive virtual reality computer dynamic simulation etc., to study thoroughly and carefully on critical technologies such as mixed - language programming simplification of scene models displaying realistic image and animation of 3d scene models and so on in this dissertation, the methods to build scene models were studied and applied to develop a dynamic simulation system of 3d railway scene based on this idea, the major study contents and results can be summarized as follows : 1 ) mixed - language programming can complement each other between different programming languages and the method has a general significance and can become popular many computation models including development of dtm optimum of dtm and reorganization of dtm were developed with fortran language in order to use the ripe codes, the dissertation succeeded in integrating the developed fortran codes to the visual c + + environment and achieving the course of mixed - language programming 2 ) the methods to build scene models for 3d location design were discussed in the dissertation and the development and animation of scene models had been realized by applying synthetically those technologies such as computer graphic computational geometry and geometrical modeling and computer dynamic simulation etc, and adopting opengl 3d graph library then achievement was got by using the technology of 3d visualization to livingly express design results 3 ) combing with the concerned study and development projects, adopting vc + + as development tools and in the light of those theories and algorithms stated in this dissertation, a software, which could build scene models with realism for 3d railway location design, in the name of " the dynamic simulation system of 3d scene of railway " was developed., the correctness was proved by using the software to build the 3d scene models and achieve their animation of suining - chongqing railway and yunnan - xizang railway

    本文綜合利用計算機圖形學、科學計算可視機交互、虛現實、計算機動態模等理論和技術,針對混合語言編程、真實感圖形繪制以及三景觀模型的動畫驅動等關鍵技術,進行了深入細致的研究,從而探討了建立逼真景觀模型的方法,並基於本文提出的方法研製了一個鐵路線路三景觀動態模系統。基於這一想,本文主要研究內容及研究成果如下: 1 )混合語言編程可以實現語言優勢互補,具有普遍意義。針對數字地面模型的建立、優、重組等計算模塊是成熟的fortran程序代碼,本文成功實現了vc + +與fortran語言的混編; 2 )緊緊圍繞三選線設計中景觀模型的建立方法展開研究,綜合利用計算機圖形學、計算幾何及幾何造型學以及計算機模技術,採用opengl三圖形庫,實現了景觀模型的建立以及動畫驅動,使得三可視技術成功應用於選線設計成果的三直觀表達; 3 )結合有關科研課題,利用vc + +開發工具,以本文所述的理論和演算法為基礎,研製和開發了一個建立三選線設計逼真景觀模型的系統軟體- - 「鐵路線路三景觀動態模系統」 。
  2. It combines two remarkable ideas : maximum margin classifiers with low capacity and therefore good generalization, and implicit feature spaces defined by kernel function. theoretically underpinned by these ideas, svm can overcome the curse - of - dimensionality and over - fitting problems elegantly. due to its remarkable performance on many applications, svm is receiving increasing attention now

    支持向量機是基於統計學習理論的結構風險最小原則的,它將最大分界面分類器想和基於核的方法結合在一起,表現出了很好的泛能力,並且可以有效地克服數災難和過合等問題,因此受到越來越多的研究員的關注。
  3. The internet has been changing the structure and movement of economy 、 society 、 cultural, the thinking mode of people. its breadth and the depth overcame any formerly industrial revolution. with the development of network economy, traditional auditing will face the unprecedented serious challenge

    Internet的爆炸性發展改變著經濟、社會、文的結構與運行方式,改變著們的方式,其廣度與深度都是以往任何一次產業革命所無法比的。
  4. Because the uses of svm depends on the selection of kernel function parameter and error warning factor, mebml is used to search for the best parameters, provide a new way of combining support vector machines and mebml to classify and recognize, it solves the problem of svm ' s parameters selection, simulating on the orl face image database, the result shows improved face recognition base on support vector machine are effective

    由於支持向量機的推廣性取決于核函數參數與誤差懲罰因子的選擇,為此採用演算法對其參數進行優選擇,提出支持向量機與演算法相結合的新型演算法進行分類識別,演算法解決了支持向量機參數選取的難題,利用orl臉庫進行模實驗,結果表明,基於改進的支持向量機的臉識別技術識別效率高、方法有效。
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