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研究生： 陳德
De Chen
論文名稱： 模糊類神經網路結合進化演算法運用在基頻通道等化器上
The use of Evolutionary-based Neuro-Fuzzy in channel equalization
指導教授： 賀嘉律
Chia-Lu Ho
口試委員:
學位類別： 碩士
Master
系所名稱： 資訊電機學院 - 電機工程學系
Department of Electrical Engineering
畢業學年度： 89
語文別： 中文
論文頁數： 73
中文關鍵詞： 多層感知等化器 、類神經網路 、進化演算法 、倒傳遞演算法
外文關鍵詞： MLP, neural, EAs, BPA
相關次數： 點閱：10  下載：0 
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    • 摘要 圖表、表目 第一章 緒論................................................1 1.1 數位通訊........................................1 1.2 等化器之分類....................................3 1.3 運用等化器之動機................................4 第二章 感知等化器(Perceptron equlizer).....................6 2.1 類神經網路概念..................................6 2.2 多層感知器(Multilayer perceptrons)..............10 2.3 消除碼際干擾(ISI)...............................14 2.4 lp Norm Back PropagationAlgorithm..............16 第三章 模糊系統(Fuzzy System)..............................22 3.1 前言............................................22 3.2 模糊系統基本定義................................23 3.3 模糊系統之架構..................................29 3.4 模糊適應等化器..................................33 第四章 進化演算法(Evolution Algorithm).....................39 4.1 EA基本架構.....................................39 4.2 初始染色體......................................41 4.3 評估(Evaluation)................................42 4.4 交配(Recombination..............................43 4.5 染色體突變(Chromosome Mutation).................44 4.6 染色體選擇(Chromosome Selection)................45 4.7 風險分析(Risk Analysis)........................46 第五章 模擬結果(Simulation Results)........................47 5.1 系統模擬結構....................................47 5.2 收斂特性(Convergence Characteristics............48 5.3 適應函數(Fitness Function)......................53 5.4 決策曲線(Decision Boundary).....................55 5.5 位元錯誤率(Bit Error Rate)......................59 結 論......................................................65 附 錄......................................................67 參考文獻...................................................71

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