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Empirical support for global integrated assessment modeling: Productivity trends and technological change in developing countries' agriculture and electric power sectors

Sathaye, Jayant A. - 2009

and analyzing statistical data on productivity trends and technological change in the energy-intensive manufacturing … also examine the impact of alternative model specifications on estimates of productivity growth and technological change …. malleable-- in contributing to productivity growth and technological change. The project has already produced a data resource on …

Persistent link: https://www.econbiz.de/10009435944

Modelling Evolving Rules for the Use of Common-Pool Resources in an Agent-Based Model

Smajgl, Alexander - 2007

"Institutional arrangements are key drivers of the use of common-pool resources (CPR). The analysis of existing arrangements requires a framework that allows research to describe a case study systematically and diagnose the institutional setting. Based on a sound understanding of current...

Persistent link: https://www.econbiz.de/10009468439

The design of the MAD Design Program

Niederer, J. - 2008

The study of long term stability in particle accelerators has long been served by a group of widely circulated computer programs. The progress in these programs has mirrored the growth and versatility in accelerator size, complexity, and purpose, as well as evolving technologies in computing...

Persistent link: https://www.econbiz.de/10009435462

The design of the MAD Design Program

Niederer, J. - 2008

Persistent link: https://www.econbiz.de/10009435473

Material degradation analysis and maintenance decisions based on material condition monitoring during in-service inspections

Yacout, A.M.; Orechwa, Y. - 2009

The degradation of the material in critical components is shown to be an effective measure which can be used to compute the risk adjusted economic penalty associated with different maintenance decisions. The approach of estimating the probability, with confidence interval, of the time that a...

Persistent link: https://www.econbiz.de/10009435687

Characterization of nonlinear dynamic systems using artificial neural networks

Urbina, A.; Hunter, N.F.; Paez, T.L. - 2010

The efficient characterization of nonlinear systems is an important goal of vibration and model testing. The authors build a nonlinear system model based on the acceleration time series response of a single input, multiple output system. A series of local linear models are used as a template to...

Persistent link: https://www.econbiz.de/10009435920

Dynamic modeling of physical phenomena for probabilistic risk assessments using artificial neural networks

Benjamin, A.S.; Paez, T.L.; Brown, N.N. - 2010

In most probabilistic risk assessments, there is a subset of accident scenarios that involves physical challenges to the system, such as high heat rates and/or accelerations. The system`s responses to these challenges may be complicated, and their prediction may require the use of long-running...

Persistent link: https://www.econbiz.de/10009436055

An approach to distribution short-term load forecasting

Stratton, R.C.; Gaustad, K.L. - 2009

This paper reports on the developments and findings of the Distribution Short-Term Load Forecaster (DSTLF) research activity. The objective of this research is to develop a distribution short-term load forecasting technology consisting of a forecasting method, development methodology, theories...

Persistent link: https://www.econbiz.de/10009436662

When constants are important

Beiu, V. - 2008

In this paper the authors discuss several complexity aspects pertaining to neural networks, commonly known as the curse of dimensionality. The focus will be on: (1) size complexity and depth-size tradeoffs; (2) complexity of learning; and (3) precision and limited interconnectivity. Results have...

Persistent link: https://www.econbiz.de/10009437052

Study into key problems in forecasting export containers in a region of China

Han, B.M.; Zhu, X.N.; Wong, Wing-gun; Ferreira, Luis; … - 2002

Forecasting network data traffic is an important part of the function of planning and managing information systems. However, the contents of network data are so stochastic and complex that it is very difficult to establish stable functions to describe the mapping relationship between data flows...

Persistent link: https://www.econbiz.de/10009438343

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