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Sensitivity analysis of neocognitron
IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 1999Fukushima's (1988; 1989; 1992; 1993) neocognitron model is well-known for its performance in visual pattern recognition. Through a training process, the visual pattern information is stored in a form of numerical weights in memory. When the model is actually implemented in hardware, weight errors and input noises caused by hardware imprecision and ...
A. Y. Cheng, Daniel S. Yeung
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2023
A primary activity in operations research and the management sciences is the creation of quantitative models to support decision making. They can be optimization models, simulators, or machine learning tools fitted to available data. Often, the sophistication of the modeling exercise forces analysts to create complex architectures.
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A primary activity in operations research and the management sciences is the creation of quantitative models to support decision making. They can be optimization models, simulators, or machine learning tools fitted to available data. Often, the sophistication of the modeling exercise forces analysts to create complex architectures.
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An Approach to Sensitivity Analysis
Journal of the Operational Research Society, 1975This paper constructs an approximate theory of Sensitivity Analysis in Linear Programmes. This theory allows small (independent or interrelated) changes in any or all of the coefficients of a LP with the ensuing construction of a feasible risk region within which the present basic set of variables does not change.
Flavell, R., Salkin, G. R.
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Advances in sensitivity analysis
Reliability Engineering & System Safety, 2012Abstract This editorial presents the content of the special issue Advances in Sensitivity Analysis that follows the Sixth International Conference on Sensitivity Analysis of Model Output (SAMO 2010). The special issue highlights the state of the art in a field which is rapidly growing and whose importance is more and more recognized by the scientific
Emanuele Borgonovo, Stefano Tarantola
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Sensitivity analysis of performability
Performance Evaluation, 1992Summary: An analytical expression is provided to evaluate the sensitivity (i.e. the derivative with respect to a system parameter) of the cumulative reward distribution for systems modeled by homogeneous Markov reward processes. Both transition rates and reward rates are assumed to be function of the system parameter.
Vincenzo Grassi, Lorenzo Donatiello
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2009
Sensitivity analysis is a mathematical technique for investigating the effects of inaccuracies in the parameters of a mathematical model. It analyses how variation in the output of a model (numerical or otherwise) can be apportioned qualitatively or quantitatively to different sources of data. Sensitivity analysis is an important statistical validation
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Sensitivity analysis is a mathematical technique for investigating the effects of inaccuracies in the parameters of a mathematical model. It analyses how variation in the output of a model (numerical or otherwise) can be apportioned qualitatively or quantitatively to different sources of data. Sensitivity analysis is an important statistical validation
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Operations Research, 1995
In applications of operations research models, decision makers must assess the sensitivity of outputs to imprecise values for some of the model's parameters. Existing analytic approaches for classic optimization models rely heavily on duality properties for assessing the impact of local parameter variations, parametric programming for examining ...
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In applications of operations research models, decision makers must assess the sensitivity of outputs to imprecise values for some of the model's parameters. Existing analytic approaches for classic optimization models rely heavily on duality properties for assessing the impact of local parameter variations, parametric programming for examining ...
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Sensitivity analysis of scheduling algorithms
European Journal of Operational Research, 2001zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Penz, Bernard +2 more
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Sensitivity analysis in economics
Computers & Operations Research, 1984The paper studies the local dependence on a parameter of a unique solution to a general inequality-equality constrained nonlinear programming problem. A theorem due to \textit{A. V. Fiacco} [Math. Program. 10, 287-311 (1976; Zbl 0357.90064)] is extended to deal with the case where the objective and constraint functions are definded only over the ...
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Sensitivity Analysis for Biomedical Models
IEEE Transactions on Medical Imaging, 2010This article discusses the application of sensitivity analysis (SA) in biomedical models. Sensitivity analysis is widely applied in physics, chemistry, economics, social sciences and other areas where models are developed. By assigning a prior probability distribution to each model variable, the SA framework appeals to the posterior probabilities of ...
Zhenghui Hu, Pengcheng Shi
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