Establishing a Short-Term Liquidity Evaluation Model for Tourist Enterprises Using a Back-propagation Neural Network

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Title:	Establishing a Short-Term Liquidity Evaluation Model for Tourist Enterprises Using a Back-propagation Neural Network
Authors:	沈冠亞 Annie
Contributors:	觀光與會議展覽學士學位學程 Program of Tourism and MICE Management
Keywords:	關鍵字;倒傳遞神經網路;短期償債能力;專家模式 Keywords;Back-Propagation Neural Network;Short-Term Liquidity;Expert Modeling
Date:	2012
Issue Date:	2014-06-27 11:33:40 (UTC+8)
Abstract:	財務報表可指出企業在某一時間點與某一段時間的財務狀況對於預測企業未來盈餘. 股息. 現金流量. 經營風險等具有參考價值。為減少人為錯誤或財務指標多且複雜所引起的財務評等失準現像, 本研究應用倒傳遞神經網路建立財務評等專家決策模式, 以台灣上市櫃之觀光企業之短期償債能力為分析目標, 找出影響決策模式之重要指標排序可回饋於財務專家檢核其所做決策之正確性, 可提高決策可靠度。財務報表可指出企業在某一時間點與某一段時間的財務狀況對於預測企業未來盈餘. 股息. 現金流量. 經營風險等具有參考價值。為減少人為錯誤 Abstract Financial statements can indicate the financial status of the enterprise at a certain time and during a certain period. For predicting future earnings, dividends, cash flows, and operating risks, financial statements can be used as a crucial refe
Appears in Collections:	[Department of Tourism and MICE] Journal Articles

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