派博傳思國際中心

標(biāo)題: Titlebook: Bankruptcy Prediction through Soft Computing based Deep Learning Technique; Arindam Chaudhuri,Soumya K Ghosh Book 2017 Springer Nature Sin [打印本頁]

作者: Coenzyme    時間: 2025-3-21 18:05
書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique影響因子(影響力)




書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique影響因子(影響力)學(xué)科排名




書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique網(wǎng)絡(luò)公開度




書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique被引頻次




書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique被引頻次學(xué)科排名




書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique年度引用




書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique年度引用學(xué)科排名




書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique讀者反饋




書目名稱Bankruptcy Prediction through Soft Computing based Deep Learning Technique讀者反饋學(xué)科排名





作者: 陶醉    時間: 2025-3-21 20:28

作者: 巧辦法    時間: 2025-3-22 00:42
Literature Review,univariate analysis in order to predict corporate bankruptcy. Neter [5] however strongly supported the use of multivariate analysis for this problem. Beaver discovered that till 5-year period before the organization’s failure, the number of ratios differed from corresponding non-failed organization.
作者: Fresco    時間: 2025-3-22 08:38
Bankruptcy Prediction,the number of business failures. There are four generic terms that describe corporate distress, viz., failure, insolvency, default, and bankruptcy, which form the backbone of corporate distress which ultimately leads to bankruptcy:
作者: 遺留之物    時間: 2025-3-22 12:12
Need for Risk Classification,from the banks. Here no external rating is available. The banks use internal rating system to sketch the risk class to which the client belongs. The banks are given pressure from both sides by the Basel II. The risk premia is demanded by the banks with respect to the default probability of the speci
作者: Affection    時間: 2025-3-22 16:19
Conclusion,kruptcy database. FRTDSN-HRB performance is compared with fuzzy SVMs and other statistical models. To provide a balance in comparison, certain aspects that reduce or grow predictive accuracy are taken care through FRTDSN-HRB model. The cutoff points’ selection is affected by backcasting, choice-base
作者: 江湖郎中    時間: 2025-3-22 19:27

作者: reject    時間: 2025-3-22 23:50
Bankruptcy Prediction through Soft Computing based Deep Learning Technique978-981-10-6683-2
作者: Tincture    時間: 2025-3-23 01:24
https://doi.org/10.1057/9780230612082s achieved through literature review and brainstorming the techniques. The literature review is presented in Chap. .. The methodology is highlighted in Chap. .. The appropriate data is collected to validate the chosen technique. The data preprocessing is performed with respect to the chosen techniqu
作者: Absenteeism    時間: 2025-3-23 08:04

作者: CAPE    時間: 2025-3-23 11:00
https://doi.org/10.1057/9781137278159the number of business failures. There are four generic terms that describe corporate distress, viz., failure, insolvency, default, and bankruptcy, which form the backbone of corporate distress which ultimately leads to bankruptcy:
作者: GUILE    時間: 2025-3-23 16:47
Taiki Takahashi,Susumu Egashirafrom the banks. Here no external rating is available. The banks use internal rating system to sketch the risk class to which the client belongs. The banks are given pressure from both sides by the Basel II. The risk premia is demanded by the banks with respect to the default probability of the speci
作者: ORE    時間: 2025-3-23 20:54

作者: condescend    時間: 2025-3-24 00:24

作者: insolence    時間: 2025-3-24 04:19

作者: liaison    時間: 2025-3-24 07:28

作者: electrolyte    時間: 2025-3-24 12:42

作者: LITHE    時間: 2025-3-24 16:35

作者: 死亡    時間: 2025-3-24 20:20

作者: ALB    時間: 2025-3-25 00:14
4–13: Austrians and the Holocaust (1)th Intel Core i7 processor, the configuration of which is 6.40?GHz, 128?GB RAM, and 16?MB cache. The experimental results are presented as cutoff point, Type I and Type II errors, optimal cutoff point, and randomly selected samples spread across several full and mid-business cycles.
作者: 現(xiàn)暈光    時間: 2025-3-25 07:06

作者: 健談    時間: 2025-3-25 11:07
Book 2017hat in the past has been tackled using statistical, market-based and machine-intelligence prediction models. The HDA are formed through fuzzy rough tensor deep staking networks (FRTDSN) with structured, hierarchical rough Bayesian (HRB) models. FRTDSN is formalized through TDSN and fuzzy rough sets,
作者: 使苦惱    時間: 2025-3-25 13:54
Introduction,e institutions and public firms. It is an active research area in business and mathematical finance. The importance of bankruptcy is mainly attributed to the creditors and investors in assessing the likelihood that an organization can become bankrupt. Bankruptcy investigation is generally expressed
作者: Gene408    時間: 2025-3-25 17:12
Need of This Research,age lies in recognizing associated problems and appreciating the process that goes to bankruptcy and benefits from them. The research monograph addresses this issue. It is achieved by investigating bankruptcy datasets of Korean construction companies [32], American and European nonfinancial companie
作者: 憎惡    時間: 2025-3-25 20:24

作者: 繁殖    時間: 2025-3-26 01:41

作者: tenuous    時間: 2025-3-26 07:13
Need for Risk Classification,ons. The external rating is an expensive process. Till date most banks have sanctioned loans to small- and medium-sized companies (SME) [5] without any estimation for the associated risks. The banks base their decision-making process on several rough models. The decision to credit is taken up by the
作者: Sinus-Rhythm    時間: 2025-3-26 09:28
Experimental Framework: Bankruptcy Prediction Using Soft Computing Based Deep Learning Technique,ng machine learning technique in past few years [82]. It is deep structured learning and concerned with ANN study containing more than one hidden layer. It is based on composition of several layers with nonlinear units toward feature extraction and corresponding transformation. Here each preceding l
作者: vertebrate    時間: 2025-3-26 13:50

作者: 元音    時間: 2025-3-26 19:24

作者: 假設(shè)    時間: 2025-3-26 21:31
Hayek: A Collaborative BiographyNow we present the different bankruptcy datasets which are used to perform several experiments. For this research work, we have considered the following bankruptcy datasets. These datasets are considerably restructured to highlight the success of compound FRTSDN-HRB presented in Chap. .:
作者: Progesterone    時間: 2025-3-27 02:31

作者: 安撫    時間: 2025-3-27 06:36

作者: 向外    時間: 2025-3-27 12:24
978-981-10-6682-5Springer Nature Singapore Pte Ltd. 2017
作者: Coordinate    時間: 2025-3-27 16:36

作者: 符合你規(guī)定    時間: 2025-3-27 21:28
http://image.papertrans.cn/b/image/180751.jpg
作者: 失誤    時間: 2025-3-28 01:42

作者: SHRIK    時間: 2025-3-28 02:54

作者: 老巫婆    時間: 2025-3-28 08:30
,” ,” , The House of the Seven Gables, was first studied by Smith and Winakor in 1935 [36] and by Merwin in 1942 [37]. Another notable study was performed by Altman in 1993 [1]. These studies pointed that the failing organizations have significantly different ratios than the successful ones. This fundamental aspect provided a significan
作者: faction    時間: 2025-3-28 11:49

作者: Esophagus    時間: 2025-3-28 17:06

作者: 好忠告人    時間: 2025-3-28 22:09

作者: Ascendancy    時間: 2025-3-28 23:35

作者: GOAT    時間: 2025-3-29 04:13

作者: 違抗    時間: 2025-3-29 09:04
Einleitung,COVID-19-Pandemie führt zu einer zus?tzlichen Dynamik der M?rkte und fordert flexible Reaktionen der Wirtschaft.. Diese Unternehmensumwelt wird durch den Begriff der VUKA-Welt beschrieben, welche sich durch Volatilit?t, Unsicherheit, Komplexit?t und Ambiguit?t auszeichnet.. Um in der VUKA-Welt profi




歡迎光臨 派博傳思國際中心 (http://www.pjsxioz.cn/) Powered by Discuz! X3.5
德昌县| 泾源县| 太和县| 班戈县| 淄博市| 寿阳县| 鄯善县| 巫山县| 金山区| 达拉特旗| 南陵县| 武汉市| 新竹县| 陇川县| 罗平县| 县级市| 彝良县| 长阳| 开阳县| 拉萨市| 桐城市| 卓尼县| 兴业县| 定南县| 固安县| 柯坪县| 新泰市| 于田县| 灵山县| 临沂市| 格尔木市| 大冶市| 榆中县| 长海县| 皮山县| 印江| 阿图什市| 闻喜县| 宁河县| 金坛市| 南昌市|