巖神經 的英文怎麼說
中文拼音 [yánshénjīng]
巖神經
英文
nerves petrosal-
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。Research on control method of bittern density based on fuzzy neural network in salt solution mining
基於模糊神經網路的巖鹽鹵水濃度的控制方法研究This thesis primarily makes below the work of a few aspects : ( 1 ) the method to append the section line in the geological section plane and the geological plane graph intersected each other ; ( 2 ) the principle and method that automatic determinate of orebody on transverse section with the neural network theory was presented, and draw the slippery boundary of ore ; ( 3 ) the method that drawing the surveying well and lane way engineering in the geological and survey graph ; ( 4 ) the method to automatic calculation and statistics output ore reserves and grade ; ( 5 ) the method that automatic creating the geology cross section of the hole ; this thesis realizes automation for managing geological graph based on the substantive research work
本論文主要作了以下幾個方面的工作： （ 1 ）提出了在相交平面圖和剖面圖中添加剖面剖切線的方法； （ 2 ）提出了應用人工神經網路理論確定剖面中礦體界線的理論和方法以及礦巖界線圓滑的原理與方法； （ 3 ）實現了礦山生產實測工程數據處理與地測圖件的有機結合； （ 4 ）實現了礦塊地質品位和儲量的自動計算和統計輸出； （ 5 ）提出了中深孔炮孔排面地質剖面圖自動剖切的原理和方法。本論文在大量研究工作基礎上，實現了地測圖件管理的計算機自動化。Sulcus nervi petrosi superficialis minoris
巖淺小神經溝Sulcus nervi petrosi superficialis majoris
巖淺大神經溝Using artificial neural network in identification of mechanics paraneters of tunnel ' s wall rock
人工神經網路在隧洞工程圍巖力學參數識別中的應用( 2 ) taking the geology analysis as main way and combining the pre - test, predicating the tunnel ' s main geology condition ( rock quality, surrounding rock classification, long - wide joint, fault, ground water, crustal stress ), and predicating the main potential disaster ( collapse, breaking water, rockburst, large deformation ) ( 3 ) employing the stress test result and inverse analysis of the stress field, finding out the crustal stress " s distributing rule along the tunnel axes section : the highest crustal stress is 24mpa near the deepest spot, and predicting that the k2 + 260 ~ k3 + 000 likely to be the high crustal stress segment for this tunnel
通過地質分析、類比分析、監控量測、數值模擬、神經網路等方法，對鷓鴣山隧道潛在的主要地質災害（塌方、涌水、巖爆和大變形）進行了預測預報（ 3 ）在現場地應力測試成果的基礎上，運用數值計算進行應力場反演，基本查明了沿隧道軸線剖面的地應力分佈規律：地應力量級在最大埋深附近達到最大值24mpa ，並預測k2 + 260 k3 + 000段將很可能成為鷓鴣山隧道的高地應力段。 （ 4 ）塌方往往與斷層破碎帶及千枚巖相聯系。Since there is few core data and logging data in this area, the lian - 150 well is selected as the standard well that has imaging logging data which is combined with few core data to establish the fracture identified mode with bp neural network and gray system theory. it makes the satisfied effect of the muti - well interpretation and solves the problem of the absence of the exceptional well data and the difficulty of fracture identification
本論文在該地區巖心資料少，測井資料不全的情況下，選取有成象測井資料的聯150井作為標準井，運用成象測井資料結合少量的巖心資料建立起該地區bp神經網路和灰色系統理論裂縫的識別與評價模型，用於該地區的多井解釋取得了滿意的效果，解決了該地區特殊測井資料缺乏、裂縫測井識別較難的現狀。The factors include antecedent precipitation of low flow period and status of karst basins ( such as lithology, landform, drainage area, drainage density, length and ratio of demotion of main river and so on. ). based on the former studies, integrated the conventional statistic methods, the technique of anns is applied in this paper for researching the law of the low flow of karst basins in guizhou altiplano
影響喀斯特流域枯水徑流的因素異常復雜，其影響因素主要有枯季前期降水量和巖性、地貌、流域面積、河網密度、主河道長度及其比降等流域下墊面狀況。本文在前人研究的基礎上，採用人工神經網路技術，結合傳統的統計方法，研究貴州高原上喀斯特流域的枯水徑流規律。The integrated identification of fractures with the bpo interpretation of logs and the 3d seismic fracture interpretation technology were used to predict the development and distribution rules of fractures in ve rtical and plane directions of mesozoic reservoirs of baigezhuang region. the plane distribution of the stress fields of different major oil reservoirs determined with finite element numerical simulation provides a theoretical foundation for the research of the plane distribution of the fracture. thus, the quantitative prediction of the tectonic fractures is possible
本文應用測井參數的bp神經網路裂縫綜合識別方法、三維地震裂縫檢測技術，預測了柏各莊地區中生界儲層平面或縱向上裂縫的發育分佈及規律；並用有限元法數值模擬技術展示出不同主力油層的平面古應力狀態，為研究裂縫的平面分佈規律提供了理論依據；在此基礎上，依據巖石破裂準則進行了構造裂縫定量預測。As to the tunnels of jinping hydroelectric power station in sicuan province, the thesis discusses how to reasonably consider the initial stress field when designing a large - scale tunnel with high initial stress and deep buried. first, by analyzing of the rock lab tests and discusses the feature of regional geomorphology. explains the production of initial stress field, analyze the initial stress of jinping hydroelectric power station ; second, using the fem, the paper creates the real model of region. according to the results of stress measurement point, by combining of ann and fem to decide the boundary condition, the paper calculates the initial stress field ; at last, the paper analyzes the influence of the initial stress field formed from different condition on the deformation and stress of the surrounding rock, and the main factor to influence the initial stress. on the basis of the former work, the author proposes some proposals, which will be helpful for studying and designing of the similar undergroun d engineering
首先從巖體的應力?變形的特性入手，並結合工程區域的地形地貌特徵，對巖體初始地應力場的形成做出解釋，結合錦屏水電站初始地應力的現狀提出了將地應力場進行分帶；然後建立整個工程區的實體模型，在地質分析的基礎上，以工程區右半部分為代表，參照實測點的初始地應力值，採用了神經網路與有限元相結合的方法反演了該區域的初始地應力場；最後模擬隧洞的開挖，通過計算比較分析了初始地應力場對處于不同應力帶內的隧洞圍巖穩定性的影響，在此基礎上提出了作者的建議，力圖為該類工程的研究設計工作提供有益的幫助。Because the prediction accuracy of ann and fuzzy system algorithm is insufficient for underground powerhouse rock surrounding stability, the method of accurate online support vector regression ( aosvr ) was applied to study the evolution law for underground powerhouse rock surrounding displacement
摘要針對目前廣泛使用的模糊系統和神經網路預測方法在地下結構圍巖變形預測中的缺陷，提出一種精確在線支持向量機（ aosvr ）並將其應用到水電站地下廠房開挖過程中頂拱圍巖的變形預測。Neural network model for rheology of rock and soil under step loading
分級加載下巖土流變的神經網路模型The paper discuss the way to this question and want to explain the question by neural networks and ga with the help of projection arithmetic. the algorithm uses complexion model to detect karst object. first, the paper introduce the important of the research. then the paper understand the algorithm of patterm recognition and apply it to the images of remote sensing in jinping karst area
因此，本文先歸納和分析了當前遙感圖象處理與模式識別的典型演算法，然後利用目前流行的神經網路與遺傳演算法結合高斯-克呂格投影等平差分析演算法進行遙感圖象中的巖溶地物信息模式識別。A method of grey cluster spatial prediction of rock - mass slope stability based on artificial neural network and its application
基於神經網路的巖體邊坡穩定性的灰色聚類空間預測法及其應用N. petrosus superficialis major
巖淺大神經N. petrosus superficialis minor
巖淺小神經Aiming mainly at the application of cad technology in geological survey as well as providing complete geology materials for mining designing, this paper has discussed and studied several pieces of key technology and method involved in design and realization of software, whole structure as well as selection of development tool and environment of software and so on. from the practice of engineering application, this paper carries out the following items : accessing structure of geological survey data as well as mutual transforming technology with its graphics. the theory and method of automatic drawing boundary line between ore and rock based on the artificial neural network
論文從工程應用的實際出發，主要進行了以下幾方面的工作：地測數據的存取結構及其與相關圖形的互動技術基於人工神經網路的礦巖界線的自動繪制理論與方法基於opengl技術的3d礦床模型的自動生成理論與方法基於粗糙集理論的地測數據預測分析模型本論文綜合運用了先進的objectarx技術、數據庫技術、 opengl圖形技術、 ado數據庫連接技術，以可視化開發工具visualc + + 6 . 0為開發平臺，以autocad通用圖形系統為應用平臺，以mssqlserver為數據庫平臺，完成了系統的總體設計與軟體實現。Identification algorithm of elastic parameters of rock body in slope based on improved bp neural networks
基於改進神經網路的邊坡巖體彈性力學參數識別方法The research on logging lithology identification suggests that svm can overcome the fundamental disadvantages of neural network, and it is a new method to identify lithology
在測井巖性識別方面研究發現，支持向量機方法克服了神經網路的固有缺陷，提供了一種識別巖性的新方法。分享友人