ann system 中文意思是什麼
ann system
解釋
人工神經元網路系統-
The urban traffic trunk is regarded as a large system, and the subsystems are the intersections in the trunk. then we desipi a two - level coordinated fuzzy control method and use ann to implement the fuzzification, fuzzy inference and defuzzification. the arithmetic homs the strongly self - adapt, self - learning and fault - tolerant function
3 ）把城市交通干線作為一個大系統，子系統為干線上的各個交叉口，在此基礎上，設計了一種城市交通干線的兩級模糊協調控制演算法，並用bp神經網路實現控制器的模糊化、模糊推理和清晰化三個部分，系統具有較強的自適應、自學習和容錯性。 -
An ann - based expert system for index forecast of ore dressing
基於人工神經網路的選礦指標預報專家系統 -
The expert system gets most part of knowledge and ratiocinates by using ann, changes the result of the output of net into the form which the expert system can understand, gets the final result from the universal reasoning engine
本文採用神經網路進行大部分的知識獲取及推理功能，將網路輸出結果轉換成專家系統推理機能接受的形式，由專家系統的推理機得到問題的最後結果。 -
Velocity control of rpm system based on ann
基於神經網路的快速成型系統速度控制 -
( 1 ) modeling of numerical analysis of frozen soil ventiduct roadbed by ann ( 2 ) developing the ann optimization design system for ventiduct roadbed in permafrost area ( 3 ) defining of the sequel learning tactic of three layer bp network ( 4 ) improvement on bp arithmetic in ann module
（ 2 ）開發了凍土通風管路基優化設計神經網路分析軟體系統具有完整的前後處理、溫度場分析、設計方案優化等功能，能滿足工程應用的基本需要。還能夠作為數值分析子模塊，以標準com組件形式嵌入「青藏鐵路數字路基」 gis系統。 -
After analyzing the character of risk, i introduce data mining method into risk management, to solve the contradiction between great capacity of data and lack of information, the methods include mathematics statistics and artificial neural network ( ann ). then, i study on the methods of risk management in risk identification, risk evaluation and risk disposal, what is advanced, fault tree analysis method based on fuzzy probability, stochastic simulation method and the topsis method based on interval number all consider the characteristic of risk. finally, i discussed the application of information system ( mis ) in project risk management, and developed a risk management information system
論文在深入分析了風險特徵之後，將數據挖掘技術引入風險管理，用以解決海量數據與貧乏信息之間的矛盾，所採用的技術有數理統計和人工神經網路（ ann ）兩種方法；接著，論文對風險識別、風險評價、風險處理中的風險管理方法進行了研究，所提出的基於模糊概率的故障樹技術、隨機模擬技術和基於區間數的topsis方法都體現了風險管理的特點；最後，論文對信息系統（ mis ）在工程項目風險管理中的應用進行了探討，開發出一個風險管理信息系統。 -
With the corrected parameter files, the results indicate that the isotopic abundance in the sample can be determined within 2 % error using a hpge detector system. artificial neural networks ( ann ) are a class of models based on neural computation and have been applied to the measurement of uranium enrichment. the principles of ann methods used in uranium measurement are presented in this paper and the conditions of analysis proceedings are described
在核保障核查測量中和實物監測中，測量對象往往是規格確定並種類有限的元件或部件，只需要關心測量對象的屬性是否發生了變化，或者對同一種類的放射性樣品的一致性做出判斷，這種要求下使用神經網路方法是比較適宜的，並且神經網路方法是與探測器和探測效率無關的。 -
In inference engine of intelligent decision - making application system, meta - knowledge inference engine is applied to coordinate with quantitative inference, qualitative inference and ann inference
本文對農作物栽培智能決策系統的推理機提出了「元推理+目標推理」這一新型推理模式，應用元知識推理協調定性推理、定量推理和神經網路推理。 -
By the network, a optional nonlinear input - output mapping relationship can be realized. concrete mapping relationship materialize at the distributed linking weight values between neurons that build up the ann. due to the strong self - adaptability and self - learning - ability as well as excellent and robustness and tolerance ability, it can not only replace many traditional algorithm which is very complicated and timeconsuming, but also, because the processing to information is more close to person ' s thought activity habit, it provides a new way for solving the prediction of nonlinear system and unknown model
通過這種網路能夠實現任意的非線性輸入輸出映射關系，具體的映射關系體現在構成網路的神經元之間的分佈連接權上，由於網路具有很強的自適應和學習能力以及魯棒性和容錯能力，它不僅可以替代許多復雜耗時的傳統演算法，並且由於它對信息的處理更加接近於人的思維活動習慣，為解決非線性系統模擬和未知模型的預測提供了新途徑。 -
This paper presents a forecasting model of runoff to wuyandong subterranean stream system by bp ann based on the data of precipitation and flux in luota, west hunan
摘要採用湖南洛塔地區屋檐洞地下河系統降水徑流資料訓練bp人工神經網路，建立了該系統的徑流預測模型。 -
Thesis primarily studies prediction model of the forest resources inventory management information system in ann based on finished information system of the forest resources inventory management of ningxia hui - autonomous region
論文在已完成的寧夏森林資源調查管理信息系統的基礎上，採用人工神經網路（ artificialneuralnetwork ，簡稱ann ）方法對森林資源調查管理信息系統的森林資源預測模型進行初步探討。 -
Being a black - box model, ann model gets rid of some classical defects of white - box model, longer the system runs, more precise the system will be
該模型克服了白盒子模型的典型缺點，預報精度隨著運行時間的增加不斷提高。 -
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。 -
The typical faults of the automobile electrical control system are taken for example, and their technology condition features are described. ann is used for the fault pattern recognition. because the construction of electrical control system is complex, the fault symptoms have the basic feature that one fault is resulted from many reasons
以汽車電控系統的典型故障為例，對故障癥兆的技術狀態特徵的描述、利用神經網路進行故障模式識別及其故障部位判斷與故障原因分析等問題進行了深入的研究。 -
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。 -
It is well known that ann is a kind of information processing system, utilizing physical realizable equipment to simulate the structure and function of a neuron
眾所周知， an 』 n是一種信息處理系統。它採用物理可實現的器件來模擬人腦神經網路的結構和功能，它是一種大規模并行的非線性動力學系統。 -
Artificial neural network ( ann ) is a approximate simulation of biologic nerve system, which is a network model with a special algorithm got from biologic prototype after abstractly research
人工神經網路是對生物神經系統的近似模擬，是把生物原型通過理論研究抽象成為具有某種特定演算法的網路模型。 -
Ann arbor, mi ? lotions containing retinol improve the appearance of skin that has become wrinkled through the normal aging process, not just skin that has been damaged by exposure to the sun, according to a new study from the university of michigan health system
據密西根州大學衛生體系的研究新發現，含維生素a的洗劑不僅僅對暴露于陽光而受損傷的皮膚有保護作用，還可改善自然老化的皮膚皺紋外觀。 -
Ann is a adaptive and non - linear dynamic system made from superposition of many simple components which we call neuron. the question for computation of d _ ( cmax ) belongs to incipient motion of sediment in essence, which is the same question with two different sides, because computation of critical condition ( including critical velocity critical shear stress critical power ) for a grain size under a bed - load condition is equal to computation of a grain size during incipient motion under the bed - load condition and the water flow condition given before. and computation of gross bed - load transport rate has great relationship with standard of incipient motion
對于d _ （ cmax ）的推求，在本質上還是泥沙的起動問題，因為尋求某種床沙條件下某級泥沙的起動條件（如起動流速、起動切應力、起動功率）和尋求某種水流和床沙條件下的起動粒徑是同一問題的兩個方面而已；而對于推移質總輸沙率推求也和泥沙起動問題中的起動標準選擇緊密相關。 -
This paper sets up the formation mechanism mode of the carrier causing transportation catastrophe through studying the reason, character and regulation of the vehicle and ship causing the road, water transportation catastrophe. through demonstration investigation, the " shortcomings of existing carrier management system in the road, water transportation is found. using the forewarning management theory, the theory system of the carrier causing transportation catastrophe. inspecting index system and artificial neural net evaluate ( ann ) model is set up. this paper also offer the forecontrolling countermeasure correlation to the inspected status. finnaly, a software edited with powerbuild7. 0 and fortran ?
並通過實證調查，揭示現有公路、水運交通載運工具的管理體系弊端，在此基礎上，運用預警管理理論，構建了交通災害中載運工具的預警管理體系，由此建立了區域交通載運工具安全管理狀況的預警監測指標體系和人工神經網路處理評價模型，建立了相關監測狀況下的預控對策原則。
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