類神經網路 的英文怎麼說

中文拼音 [lèishénjīngwǎnglù]
類神經網路 英文
articificial neural network
  • 類 : Ⅰ名1 （許多相似或相同的事物的綜合; 種類） class; category; kind; type 2 （姓氏） a surname Ⅱ動詞...
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 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...
  • 路 : 1 （道路） road; way; path 2 （路程） journey; distance 3 （途徑; 門路） way; means 4 （條理） se...
  • 神經 : nerve; nervus
  • 網路 : 1. [電學] network; electric network2. （網） meshwork; system; graph （指一維復形）; mesh
  1. Young t., palta m., dempsey j., skatrud j., weber s., badr s., 1993, “ the occurrence of sleep - disordered breathing among middle - aged adults, ” n engl j med, vol. 328, pp. 1230 - 1235

    王元宏， 2004 ， 「以心電圖訊號檢測睡眠呼吸中止癥的類神經網路」 ，碩士論文，中山大學機電工程研究所
  2. Finding a way to incorporate non - chronicle factors into the load forecasting mechanism and thus enhance the forecasting accuracy is the objective of this thesis

    為了因應不同預測的對象而提升其預測能力，本文採用類神經網路搭配?歸時間序列演演算法建構混合型的負載預測模型。
  3. Non - linear dynamical systems and chaotic phenomena. random processes and diffusion. ising model and lattice gas. quantum systems and electronic structures. percolation, fractal and self - similarity. neural network and genetic algorithm

    非線性動力系統與混沌現象、隨機過程和擴散現象、易幸模型與格子氣體的統計模擬、量子系統與電子結構、展透、碎形與自我類似、類神經網路與基因演演算法。
  4. Keywords : unsupervised artificial neural network, image identification, instantaneous velocity

    關鍵詞：無監督式類神經網路、影像辨識、瞬時速度。
  5. Connectionist model for natural language

    自然語言類神經網路模型
  6. The basic thought is to divide the cities which are close to each other into a group ( physical area ) by applying sorting neural network, find out the optimal path by the improved hnn, and then calculate the local optimal path by using the same method, and finally get the whole optimal path, which are described as following : a assembly s of cities is grouped into some subsets according to their physical location and we can get, and then get the optimal, path of tsp of s = { s, i = 1, 2, n } through the given method, as well as the st

    基本思想是利用聚類神經網路先把地理位置上相互靠近的城市劃分為一個集體單位（一個物理區域） ，用改進的hopfield神經網路演算法求解各個區域間的最優（或近似最優）路徑，然後再在每一個區域內部用同樣的方法來求解其局部的最優（或近似最優）路徑，這樣可以最終得到全局的最優（或近似最優）解。描述如下：設有城市集合s ，按城市的地理位置把s劃分為若干子摘要2集，得s ijs ， ，其中廠s ； d ， i一口求得集合i叫s s ； i習， 2 ， … n的tsp最優路徑，再依次求得子集s ；內部的tsp最優路徑，即得最終優化路徑m一） s一） …一寧s ； di
  7. Chapter 4 discusses how to stabilize a class of time - delays neural networks via standard feedback control ; this kind of neural networks provides a unified view of several well - known neural networks ( such as hopfield neural networks and cellular neural networks ) with discrete delays or distributed delays. a stability criterion is given by using the lyapunov method. all the results obtained in this chapter are stated in simple algebraic forms so that their verifications and applications are straightforward and convenient

    通過使用lyapunov方法，我們得到了一類時延神經網路經過標準反饋控制后的穩定條件，這類神經網路涵蓋了幾種著名的神經網路，如hopfield神經網路、細胞神經網路，同樣，本章所得到的結論也是簡單的代數表達式，使用非常方便，最後在用計算機通過做數值實驗對這些結論進行了驗證。
  8. Kung, chih - hsien ; devaney, michael j. ; huang, chung - ming and kung, chih - ming, “ power source scheduling and adaptive load management via a genetic algorithm embedded neural network, ” the proceedings of the ieee instrumentation and measurement technology conference, baltimore, maryland, usa, may 1 - 4, 2000

    龔志賢，黃仲銘，龔志銘（民88 ） ， 」類神經網路應用於最佳化電力負載管理之研究」 ，第四屆人工智慧與應用研討會，大葉大學。
  9. This study employed six data mining methods, including logistic regression, discriminant analysis, artificial neural networks, k - nearest - neighbors, na ? ve bayes classifier, and classification trees, to find the most important factors of earthquake - caused landslide

    本研究利用六種資料探勘方法，包括邏輯回歸、判別分析、類神經網路、最近鄰法、貝氏分類器、分類樹，探討影響地震引起山崩的重要因子。
  10. Pan, j. n., reliability prediction of the series system with spares subject to weibull failure, ph. d. dissertation, texas tech university, lubbock, texas ( 1984 )

    鄭靜彥，以類神經網路辨識製程個別值數據之平均值、變異數及相關性的變化，元智大學工業工程研究所碩士論文， 1996 。
  11. In addition, at ncku - re study site, collections of soil water contents and data of rainfall estimate infiltration and runoff in homogeneous unsaturated soil profiles, after net fuzzy - neuro training, to analyze soil infiltration behavior and determine the infiltration and runoff of the region of the subsurface

    中文摘要本研究主要目的將現地資料含水量，運用模糊類神經網路去做訓練，在考慮降雨與土壤含水量，進行未飽和層剖面之地表入滲、逕流分析與推估。
  12. Antony, j., multi - response optimization in industrial experiments using taguchi ' s quality loss function and principal component analysis. quality and reliability engineering international, 16, 3 - 8, 2000

    徐立章，電漿電弧焊參數最佳化之研究-田口方法與類神經網路之應用，義守大學管理科學研究所碩士論文， 1999 。
  13. The artificial neural networks ( ann ) with back propagation algorithms coupled with the sequential pseudo - uniform design ( spud ) was applied and demonstrated successfully to the modeling of the pmr system using limited but adequate experimental data

    我們採用接續式擬均勻設計來安排實驗取得少量但充足的數據並以類神經網路來建構鈀膜反應器之代表性模式。
  14. The results indicate that the artificial neural network can efficiently estimate slope failure potential using the major factors

    文中並以南橫公路為例，經研究結果顯示，類神經網路可相當準確地預測公路邊坡崩壞潛能的機率。
  15. Chen, s. n. and c. chang, “ volatility - smile warrant hedging and arbitrage : theory and empirical evidence, ” international conference on the theories and practices of security and financial markets, december 1999

    陳安斌、張志良，基因演算法自動演化之類神經網路在選擇權評價及避險之研究?分析與實證，信息管理學報。
  16. But all the models of neural networks before are assumed that self - feedback is linear which can not reflect the essentiality of the neural networks. so in chapter two of this paper, the self - feedback is improved and can be nonlinear. moreover, basic features of this kind of neural networks are investigated

    但是以往所提出的該類神經網路模型都假設自反饋項為線性的，不能真實的反映其本質，所以在本文的第二章將對原有的動態神經網路模型進行推廣，並研究推廣模型的一些基本特性。
  17. A hybrid case - based reasoner that integrates case - based reasoning, fuzzy neural network, utility - based decision, induction, and planning to do case retrieval, case selection, case adaptation, and adaptation knowledge mining

    ：混合式案例推理器，整合混合式案例推理、模糊類神經網路、效用式決策、歸納、以及規劃等技術，進行案例擷取，案例選擇，案例修改，以及修改知識之學習。
  18. In order to further video analysis, an algorithm of abrupt shot boundary detection based on fuzzy clustering neural network ( fcnn ) is proposed, and it has the advantages of high precision as well as robust to fast move. caption segmentation is the key to the whole process, fcnn can also be utilized to locate caption region, however, the technique is time - consuming. thus an improved projection segmentation method is presented, and the experimental results show that it is simple and practical, and fits for real - time processing

    為了便於后續的視頻分析，提出了一種基於模糊聚類神經網路（ fcnn ）的鏡頭突變檢測演算法，實現視頻鏡頭分割，該演算法具有檢測精度高、對運動穩健等優點；區域定位是字幕提取的關鍵一環，同樣利用fcnn分類器可實現字幕定位，但其運算量大，定位精度不高，因此提出了一種改進的投影分割方法實現字幕區域定位分割，實驗表明其簡單實用，適于實時處理；考慮到單個字元背景相對簡單，為此提出了一種基於單字元的字幕二值化演算法，最終在經由字元分割、二值化及殘留背景像素清除之後，得到了清晰、高質的字幕圖像，字元識別結果證明了這一點。
  19. Specifies the percentage of training cases used to calculate the holdout error, which is used as part of the stopping criteria during neural network learning

    指定用於計算?效組錯誤的培訓案例之百分比，以在類神經網路學習期間作為停止準則的一部分。
  20. Supervised learning with the use of regression and classification networks with sparse data sets will be explored

    也將在課程中以帶有稀疏值理論的分類神經網路與回歸的使用來探討監督式學習。
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