| dc.contributor.advisor | 蔡瑞煌 | zh_TW |
| dc.contributor.advisor | Tsaih | en_US |
| dc.contributor.author (Authors) | 程至方 | zh_TW |
| dc.contributor.author (Authors) | Cheng Chin-Fang | en_US |
| dc.creator (作者) | 程至方 | zh_TW |
| dc.creator (作者) | Cheng, Chin-Fang | en_US |
| dc.date (日期) | 1994 | en_US |
| dc.date.accessioned | 29-Apr-2016 16:30:56 (UTC+8) | - |
| dc.date.available | 29-Apr-2016 16:30:56 (UTC+8) | - |
| dc.date.issued (上傳時間) | 29-Apr-2016 16:30:56 (UTC+8) | - |
| dc.identifier (Other Identifiers) | B2002003880 | en_US |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/88700 | - |
| dc.description (描述) | 碩士 | zh_TW |
| dc.description (描述) | 國立政治大學 | zh_TW |
| dc.description (描述) | 資訊管理學系 | zh_TW |
| dc.description (描述) | 81356011 | zh_TW |
| dc.description.abstract (摘要) | 在此論文中，我們提出一個用來解釋線性規劃問題的類神經網路系統。這 | zh_TW |
| dc.description.tableofcontents | Contents 1 Introduction........................................................................................................... 1 2 General Concept 2.1 The Penalty Method................................................................................. 5 2.2 The Energy Function................................................................................. 6 2.3 The Hopfield Model.................................................................................. 8 2.4 The Gradient Descent................................................................................ 12 3 The Proposed Artificial Neural Networks System 3.1 The Proposed LP_ANN System.................................................................. 14 3.2 The Primal Subsystem................................................................................ 16 3.2.1 First Layer Structure....................................................................... 17 3.2.2 Second Layer Structure................................................................... 18 3.2.3 The Design of the Second Layer...................................................... 20 3.2.4 The Procedure for the Primal Subsystem....................................... 24 3.3 The Dual Subsystem................................................................................... 29 4 Simulation Results and Discussions 4.1 1200raondom LP problems....................................................................... 33 4.2 Compared with the Tank’s LP example...................................................... 38 5 Conclusions and Future Works 5.1 Conclusions................................................................................................ 43 5.2 Future Works............................................................................................. 44 Bibliography | zh_TW |
| dc.source.uri (資料來源) | http://thesis.lib.nccu.edu.tw/record/#B2002003880 | en_US |
| dc.subject (關鍵詞) | 類神經網路 | zh_TW |
| dc.subject (關鍵詞) | 線性規劃 | zh_TW |
| dc.subject (關鍵詞) | 能量 | zh_TW |
| dc.subject (關鍵詞) | Artificial Neural Networks | en_US |
| dc.subject (關鍵詞) | Linear Programming | en_US |
| dc.title (題名) | 應用神經網路於解決線性規劃問題之探討 | zh_TW |
| dc.title (題名) | The Artificial Neural Networks for Linear Programming Problems | en_US |
| dc.type (資料類型) | thesis | en_US |
| dc.relation.reference (參考文獻) | [Chua84] L.O. Chua and G.N. Lin,”Nonlinear programming without computation,” IEEE Transaction on Circuits and Systems, vol. CAS-31, no.2,pp.182-188,Feb. 1984. [Cich92]A. Cichocki and R. Unbehauen, “Neural Networks for solving systems of linear equation and related problems,”IEEE Transactions on Circuits and Systems-1:Fundamental Theory and Applications, vol. CAS-39,no.2, Feb. 1992. | zh_TW |
