fuzzy neural network development system 中文意思是什麼

fuzzy neural network development system 解釋
模糊神經網路開發系統
  • fuzzy : adj. 1. 有茸毛的，覆著細毛的，如茸毛的。2. 不清楚的。fuzziness n.
  • neural : adj. 【解剖學】神經（系統）的；神經中樞的；【解剖學】背的，背側的。adv. -ly
  • network : n. 1. 網眼織物。2. （鐵路、河道等的）網狀系統，網狀組織，廣播網，電視網，廣播[電視]聯播公司。3. 【無線電】網路，電路。4. 【計算機】電腦網路，網。
  • development : n. 1. 發展，發達；進化。2. 展開；擴充；開發。3. 發達物，新事物，發展階段。4. 【生物學】發育（史）；【軍，數】展開；【攝影】顯影，顯像；【音樂】展開（部）；研製，研製成果。
  • system : n 1 體系，系統；分類法；組織；設備，裝置。2 方式；方法；作業方法。3 制度；主義。4 次序，規律。5 ...
  1. The new fnn controller not only has the fuzzy controller ' s characters of simple structure and easily - used, but also has the self - study ability of the elman network. thus it is valuable for research for non - linear system. in this paper, it summarizes the development of dc - dc converter firstly, and presents a new idea which is using fuzzy - neural network in dc - dc converter

    這種串聯型模糊神經網路具有模糊控制的結構簡單、設計簡便及使用方便的特點，同時又利用了人工神經網路的聚類功能，使整個控制器又具備人工神經網路的自學習能力，因此這種串聯型模糊神經網路具有了良好的智能控制功能，特別適合於在非線性系統中的應用。
  2. With the help of dynamic qualitative information of working marine diesel power equipment in this field and expertise, a new long - distance oil monitoring expert system of marine diesel power equipment has been proposed and developed with the characteristic of expounding the dynamic features of marine diesel power equipment from the perspective of chaos knowledge, possessing intellectualized auxiliary decision - making mechanism based on fuzzy reasoning and neural network reasoning, utilizing mathematic analysis model established by means of track facility states of chaos vector and capable of evaluating the analysis results of oil monitoring facil ity ' s development of engine power and its working conditions accurately

    然後，結合廣泛搜集的本研究領域內船舶柴油機動力裝置在運行中的動態定性信息與專家經驗，研製開發了運用混沌學的觀點闡釋船舶動力裝置的動力特性，並擁有基於模糊推理與神經網路協作推理的智能化輔助決策機制，採取通過求取設備狀態混沌向量等方法建立的數學分析模型進行數據分析，能準確地評價船舶柴油機動力裝置油液監控設備狀態變化趨勢及其運轉狀況的遠程輪機油液監控診斷專家系統。本文研製開發的遠程輪機油液監控診斷專家系統在internet intrabet網路環境下，具有遠程智能專家診斷的特點。
  3. It gives many important helps to enhance the security of the control system. the first chapter of this paper gives a brief introduction to the development of fault diagnosis and the basic knowledge of it. the second chapter dicusses the fault diagnosis based on the expert system. the third chapter introduces the fault diagnosis based on the fault tree analysis. the forth chapter gives the fault diagnosis based on the fuzzy system. the fifth chapter analysis the fault diagnosis based on the artificial neural network in detail. the last chapter is the most important part of the paper, in this chapter i give a new fault diagnosis based on the fuzzy neural network, and applicated it in the kj15a control system, obtain the good result

    本文的第一章介紹了故障診斷的發展概況與一些故障診斷的基本知識；第二章討論了基於專家系統的故障診斷；第三章論述了基於故樟樹分析法的故障診斷；第四章給出了基於模糊系統的故障診斷；第五章詳細分析了基於人工神經網路的故障診斷；第六章是本文的核心部分，它在綜合了前面的模糊系統和神經網路故障診斷的基礎上，提出了一種基於神經模糊網路故障診斷，並將該技術應用到「 kj15a礦井機車運輸監控系統」故障檢測上，取得了良好的效果。
  4. It explains how to building expert system with a neural network, virtual instrument and fuzzy cluster algorithm. at the last of the paper, the write shows an example of the development for such a system

    對于專家知識的獲取和知識的系統應用是一種很好的嘗試，較好的解決了知識獲取的窄瓶頸問題。
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