New Intelligent Model of Cuttings Logging Based on Grey Clustering

2021 ◽  
Author(s):  
Haiying Xu ◽  
Gang Liu ◽  
Jiangna Cao ◽  
Shuo Yang ◽  
Jiansheng Liu
Keyword(s):  
Grey Clustering ◽  
Intelligent Model

Lending to the Borrower from Hell

2017 ◽  
Author(s):  
Mauricio Drelichman ◽  
Hans-Joachim Voth
Keyword(s):  
United States ◽  
Sixteenth Century ◽  
Sovereign Debt ◽  
Risk Sharing ◽  
The United States ◽  
Philip Ii ◽  
Loan Contracts ◽  
The Right ◽  
Intelligent Model ◽  
New Evidence

Why do lenders time and again loan money to sovereign borrowers who promptly go bankrupt? When can this type of lending work? As the United States and many European nations struggle with mountains of debt, historical precedents can offer valuable insights. This book looks at one famous case—the debts and defaults of Philip II of Spain. Ruling over one of the largest and most powerful empires in history, King Philip defaulted four times. Yet he never lost access to capital markets and could borrow again within a year or two of each default. Exploring the shrewd reasoning of the lenders who continued to offer money, the book analyzes the lessons from this historical example. Using detailed new evidence collected from sixteenth-century archives, the book examines the incentives and returns of lenders. It provides powerful evidence that in the right situations, lenders not only survive despite defaults—they thrive. It also demonstrates that debt markets cope well, despite massive fluctuations in expenditure and revenue, when lending functions like insurance. The book unearths unique sixteenth-century loan contracts that offered highly effective risk sharing between the king and his lenders, with payment obligations reduced in bad times. A fascinating story of finance and empire, this book offers an intelligent model for keeping economies safe in times of sovereign debt crises and defaults.

scholarly journals Device Parameter Extraction for Loss Analysis of Silicon Solar Cells Based on Intelligent Model Fitting

2018 ◽  
Vol 150 ◽  
pp. 21-27 ◽  
Author(s):  
Jian Wei Ho ◽  
Johnson Wong ◽  
Percis Teena Christopher Subhodayam ◽  
Kwan Bum Choi ◽  
Divya Ananthanarayanan ◽  
...  
Keyword(s):  
Solar Cells ◽  
Model Fitting ◽  
Parameter Extraction ◽  
Silicon Solar Cells ◽  
Loss Analysis ◽  
Device Parameter ◽  
Intelligent Model

scholarly journals Research on Substation Project Prediction Method in Power Transmission and Transformation by Improved Neural Network Intelligent Model

2021 ◽  
Vol 1952 (3) ◽  
pp. 032052
Author(s):  
Li Ma ◽  
Lanfei He ◽  
Xuefei Zhang ◽  
Wei Wang ◽  
Liping Sun ◽  
...  
Keyword(s):  
Neural Network ◽  
Power Transmission ◽  
Prediction Method ◽  
Intelligent Model

scholarly journals Grey Clustering Evaluation for the Cooperation Efficiency of PPP Project: Taking Beijing Metro Line 4 as an Example

2019 ◽  
Vol 2019 ◽  
pp. 1-13 ◽  
Author(s):  
Hui Sun ◽  
Yingzi Liang ◽  
Yuning Wang
Keyword(s):  
Public Sector ◽  
Private Sector ◽  
Evaluation Model ◽  
Evaluation Index System ◽  
The Public ◽  
Clustering Model ◽  
Grey Clustering ◽  
Public Products ◽  
Infrastructure Project

PPP model is an important model which provides public products or services based on the coordination between the public sector and private sector. The implementation of PPP model is helpful for relieving the stress of insufficient funding for public sector and improving the efficiency of resource allocation. Comparing with traditional infrastructure project, PPP project involves many stakeholders, and the cooperation efficiency during the different stakeholders impacts the results of the project directly. Thus, it is important to explore the cooperation efficiency of PPP project. Based on grey clustering model, this paper evaluates the cooperation efficiency of PPP project. An evaluation index system including 36 indexes is established based on the aims and objectives of three stakeholders (public sector, private sector, and passengers). A case study of Beijing Metro Line 4 PPP project is implemented to verify the validity and applicability of the evaluation model. And the results showed that the cooperation efficiency of Beijing Metro Line 4 PPP project is relatively high. The model also provided insights into the shortage of the cooperation efficiency of Beijing Metro Line 4 PPP project. As such, the results can assist all stakeholders in adjusting the cooperation efficiency.

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