inference network system 中文意思是什麼
inference network system
解釋
推理網路系統-
Procreant knowledge expression and forward inference engine are adopted in the method of fault diagnosis based on expert system theory. in the fault diagnosis applying neural network theory, six kinds of improved arithmetic of back - propagation arithmetic, including gradient descent with momentum, variable learning rate back - propagation, resilient back - propagation, quasi - newton, levenberg - marquardt and conjugate gradient, are applied to diagnose the faults of electric load manage center and solid state power controller. different diagnostic results gotten by simulation are compared at last
在基於專家系統的故障診斷方法中，採用了產生式知識表達和正向推理機制；在基於神經網路的故障診斷方法中，則分別採用了bp神經網路的附加動量法、自適應學習速率、彈性bp演算法、擬牛頓法、共軛梯度法和levenberg - marquardt法對電氣負載管理中心和固態功率控制器的故障進行診斷，並對由模擬得到的不同診斷結果進行比較。 -
Compared with the regular rule - based expert system, the bayesian network based es can reason on the incomplete input information using the prior probability distribution ; the topological structure of the network being used to express the qualitative knowledge and the probability distributions of the nodes in the network being used to express the uncertainty of the knowledge, which made the knowledge representation more intuitively and more clearly ; applying the principle of the bayesian chaining rule, bidirectional inference which allow infer from the cause to the effect and from the effect to the cause can be achieved
與一般基於規則的專家系統相比，貝葉斯網專家系統利用先驗概率分佈，可以使推理在輸入數據不完備的基礎上進行；以網路的拓撲結構表達定性知識，以網路節點的概率分佈表達知識的不確定性，從而使不確定性知識的表達直觀、明確；利用貝葉斯法則的基本原理，可以實現由因到果及由果到因的雙向推理。 -
The content of this paper is arranged as foll owing : chapter 1 introduces the concept of credit, credit risk and credit assessment, as well as the history and development of credit assessment ; chapter 2 introduces the history of ai technology, and the background of expert system and neural network. characters and disadvantages of expert system and neural network are presented respectively and the necessity of combining expert system and neural network is lightened ; chapter 3 shows the process of dealing with sample data, including the treatment of exceptional data and factor analysis, and puts forward the concrete framework of the mixed - expert credit assessment system ; chapter 4 introduces concept of object - oriented technology, and constructs object model and functional model after analyzing the whole system. it also illustrates the implementation of concrete classes by an example of rule class and the inference algorithm in the form of pseudocode ; chapter 5 introduces the structure of the whole system, the major functional models and their interfaces, and the characteristic of the system is also generalized ; chapter 6 summarizes the whole work, and points out the remaining deficiencies as well as the prospective of this method
本文具體內容安排如下：第一章介紹了信用、信用風險、信用評價的概念，回顧了信用評價的歷史、發展和現狀，並綜合各種信用評價模型，指出這些模型各自的優缺點：第二章簡單描述了人工智慧技術，著重介紹有關專家系統與神經網路的基礎知識，通過總結它們的優缺點，指出結合專家系統與神經網路構造混合型專家系統的必要性；本章還介紹了神經網路子模塊的概念，提出了混合型專家系統的一般框架與設計步驟：第三章對樣本數據進行處理，包括異常數據的剔除、因子分析等，提出了信用評價混合型專家系統的具體框架結構，介紹了系統知識庫的主要部分、基於優先級的正向推理機制的流程、以及基於事實的自動解釋機制的具體實現方法；第四章介紹了面向對象技術，進而採用面向對象對信用評價系統進行分析，建立了對象模型和功能模型，並在此基礎上，採用c + +語言以規則類為例說明系統中具體類的實現，用偽代碼的形式描述了推理的演算法；第五章描述了整個系統的結構，對系統主要功能模塊和界面進行了介紹，並總結系統的特點；第六章總結了全文，指出本文所構造系統存在的不足以及對將來的展望。 -
By the browser / web server / database structure and the technology of asp. net and xml, we achieve the expert system running on the network, extend the application and ensure its backward compatibility ; we have the deep research to the representation of knowledge and apply it to the system, extend the traditional method of rule based knowledge representation ; introduce the fuzzy sets, analyze the generalized possibility interval sets, and combine the linguistic variables and fuzzy sets ; the system adopts the forward and backward chaining, researches the reasoning under uncertainty and inexact reasoning ; and we depart knowledge base and inference engine, make the upgrade simple and maintenance convenient. in the last, we construct the potato produce manage system according to the phases of potato ' s growth to give a detailed instruct to its produc e
Net和xml技術，實現了網路化的專家系統，同時擴大了專家系統的應用范圍，提高了系統的後向兼容性；對專家系統中的知識表示技術作了深入探討，在傳統的基於規則的知識表示方法的基礎上，提出了基於規則擴展的知識表示方法，並較好地將其應用到本系統中；引入了模糊集合，分析並推導了廣義可能區間集，將其應用於模糊知識的表示，將語言變量和模糊集合結合起來；提出對系統採用互動式知識獲取途徑、雙向推理控制策略，對不精確推理和不確定性推理的傳播演算法作了一定的研究，成功地將其應用到馬鈴薯專家系統的構建之中；採用知識庫和推理機相分離的方法，使得系統升級簡單易行。 -
On the actual ward spot, because with the variety of the season and the day and night, the environment factors is variational and with the difference of the ward spot, the environment factors is also different, based on the frame of decision level fusion this paper apply neural network and fuzzy inference technology to achieving multi - sensors fire detection system, which can endue different sensors with different weight for adapting the variation of environment according to the actual things. we test this method applied to the multi - sensors fire detection system by simulating and attain the anticipative result
針對實際監護現場，環境因素會隨著季節以及晝夜變化而變化，而且在不同的監控現場，環境因素也不相同的問題本文在決策層融合的框架下，利用神經網路和模糊推理技術相結合來實現多傳感器火災探測，根據實際情況，賦予不同的傳感器不同的權重系數以適應環境變化，通過模擬驗證了此種方法應用於多傳感器火災探測系統可達到預期效果。 -
A high - rised structural intelligent form optimization method and support system based on fuzzy inference network
基於模糊推理網的高層結構智能型式優化方法與系統 -
An adaptive network fuzzy inference system based on b - spline function
函數的自適應網路模糊推理系統 -
Application of adaptive network - based fuzzy inference system in structural vibration active control
自適應神經網路模糊推理系統在結構振動主動控制中的研究 -
In this thesis, anfis ? adaptive network - based fuzzy inference system is applied to the control system
本文將自適應網路模糊推理系統- anfis運用於控制系統。 -
In order to avoid matching the fault symptoms with the identification conditions artificially, ( fuzzy ) neural network was designed for diagnosis according to the optimal decision system. for the continuous quantitative diagnosis data such as the measurement, and the result of signal processing, a new hybrid system of self - organizing map ( som ) / fuzzy c - means ( fcm ), rough sets theory, and adaptive neuro - fuzzy inference system ( anfis ) was presented. firstly, the continuous attributes in diagnosis decision system were discretized with som or fcm
對于連續的定量故障診斷數據（監測數據） ，以4135柴油機為例，提出了自組織映射（ som ）模糊c -均值（ fcm ） ?粗糙集?自適應模糊神經網路推理系統（ anfis ）集成的具體故障診斷實施方案：首先，應用som或fcm離散故障診斷數據中的連續屬性值；然後，基於粗糙集理論應用遺傳演算法計算診斷決策系統的約簡，按照實際需要確定診斷條件；最後，根據系統約簡設計anfis進行故障診斷。 -
Real time optimization research and application of mining scheduling system based on genetic algorithms and adaptive network fuzzy inference system
的露天礦山開采調度系統的實時優化與實踐 -
The fault will gradually be located at the replaceable component level, hi this procedure, the problem of nondeterministic inference in production system, the collaborative diagnoses between neural network and fuzzy technique and the combination application of rule and neural network are solved
上述三種診斷方式是分級進行的，按照逐步求精的思想，最終將故障定位到可更換元件上，解決了產生式規則的不確定性診斷、神經網路與模糊技術的綜合診斷、以及規則和神經網路混合運用等問題。 -
For the first time this dissertation discusses the feasibility of data mining for the fields data of cfbb ， analyses the preprocessing technology of sample data ， introduces the application of clustering analysis ， and finally completes the rule extraction by applying knowledge - based artificial neural network. considering distributed parameters ， nonlinear ， and long time lag system of cfbb ， the theory of self - organizing neural fuzzy inference system is applied to the control system of cfbb ， and enables control rules extraction on - line. the models of data mining and self - organizing ( fbnc - pnn controller ) are programmed ， embedded to the control system of a 35 t / h cfbb in tsingtao ， and finally improve the performance of cfbb effectively
本文還針對流化床鍋爐運行的非線性嚴重、大滯后、不確定性大等特點，研究了基於數據挖掘優化的模糊神經自組織控制策略在循環流化床控制系統中的應用，使規則獲取可以在線進行；並編制了數據挖掘模塊優化自組織控制模塊，應用到青島35t / h循環流化床鍋爐的控制系統中，提高了鍋爐的運行水平和效率，取得了良好的效果。 -
It improves traditional positive inference. based on topology structure of power network in power system database, a inference network graph is established with the method form top to bottom. a positive inference is used in inferring and the positive inference algorithms is proposed
對傳統的正向推理演算法進行了改進，以網路數據庫中電網拓撲結構作為前提，採用自下而上的方法建立推理網路圖，採用正向推理機制進行推理，並給出了正向推理演算法。 -
Experiments proved its efficiency and robustness. this recognition system introduced d - s inference theory in statistical pattern recognition, and implemented it by neural network
該系統充分結合了d ? s證據理論在不確定性推理方面的優勢以及神經網路強大的非線性處理能力，實驗結果表明了這一形狀識別系統的有效性。 -
After training the neural network and fuzzy inference system with the method named gauss newton levenberg - marquard, we optimize these two systems with chaotic optimization method. simulated annealing algorithm and genetic algorithm can find the better solution, with the help of chaotic optimization method
提出高斯牛頓levenberg ? manquardt方法和混沌優化相結合的演算法，利用該方法對神經網路和模糊神經網路進行了訓練，並用混沌進行了優化；還和模擬退火、遺傳演算法進行了結西安理工大學碩士論文合，幫助它們找到更好的解。 -
An expert system based on actual network for scheduling operating card in area power network is presented and a new idea that knowledge base and structural databases of a power network are separated from the inference machine is proposed in this paper
介紹了一個結合實際網路研製的地區電網調度操作票專家系統，提出了將電網結構數據庫和知識庫同推理機分離的思想。 -
Abstract : an expert system based on actual network for scheduling operating card in area power network is presented and a new idea that knowledge base and structural databases of a power network are separated from the inference machine is proposed in this paper
文摘:介紹了一個結合實際網路研製的地區電網調度操作票專家系統，提出了將電網結構數據庫和知識庫同推理機分離的思想。 -
The subject deals with many knowledge including artificial intelligence, expert system, neural network, database, etc. this software belongs to case - base expert system, the top story of it is knowledge base and inference engine, both are introduced in detail : ( 1 ) the stress is laid on the case - source and construction of the case - storage, including the characteristic, form processing and storage of fault, etc. ( 2 ) the approaches of reasoning and searching in this system are explained, mainly including the searching index and self - learning mechanism
文章涉及人工智慧、專家系統、故障診斷、神經網路、數據庫等方面內容。本系統屬于基於事例的專家系統，事例庫和推理機是專家系統的核心內容，在本論文中，進行了詳細介紹： （ 1 ）重點說明了該系統中事例的來源和事例庫的構造。包括故障的特點、整理格式及其在數據庫中的存儲等。 -
4. on the basis of the research mention above, the master plan and software development of the prototype system has been accomplished, the whole system mainly includes two parts : scheme design and software development. relevant experiments have been accomplished to the system prototype, including knowledge storage and inference based on neural network
提出系統的總體設計方案，在總體設計的框架下實現了一個基於神經網路的專家系統的原型系統，以動物識別為背景，對系統進行合理的方案設計和軟體開發，並對所提出的理論方法進行了模擬和實驗研究。
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