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A Need for Change! A Coding Framework for Improving Transparency in Decision Modeling

Fernando Alarid-Escudero, Eline M. Krijkamp, Petros Pechlivanoglou, Hawre Jalal, Szu-Yu Zoe Kao, Alan Yang, Eva A. Enns
2019 PharmacoEconomics (Auckland)  
This framework defines a set of common decision model elements divided into five components: (1) model inputs, (2) decision model implementation, (3) model calibration, (4) model validation, and (5) analysis  ...  We showcase the framework through a fully functional, testbed decision model, which is hosted on GitHub for free download and easy adaptation to other applications.  ...  Acknowledgements We thank Mr Caleb Easterly for his helpful comments and suggestions on the code developed for this framework and Dr Myriam Hunink for her overall contribution in the DARTH workgroup.  ... 
doi:10.1007/s40273-019-00837-x pmid:31549359 pmcid:PMC6871515 fatcat:3k2zd2lp2zhnhdqhvbssdpcmda

Updating weight values for function point counting

Wei Xia, Danny Ho, Luiz Fernando Capretz, Faheem Ahmed
2009 International Journal of Hybrid Intelligent Systems  
We have created a FP calibration model that incorporates the learning ability of neural networks as well as the capability of capturing human knowledge using fuzzy logic.  ...  The empirical validation using ISBSG Data Repository (release 8) shows an average improvement of 22% in the accuracy of software effort estimations with the new calibration.  ...  Based on the MMRE assessment results, an average of 22% cost estimation improvement has been achieved with the Neuro-Fuzzy Function Points Calibration model.  ... 
doi:10.3233/his-2009-0061 fatcat:6ihrz63tp5fqthciq7h6bcdx2y

A new calibration for Function Point complexity weights

Wei Xia, Luiz Fernando Capretz, Danny Ho, Faheem Ahmed
2008 Information and Software Technology  
A FP calibration model called Neuro-Fuzzy Function Point Calibration Model (NFFPCM) that integrates the learning ability from neural network and the ability to capture human knowledge from fuzzy logic  ...  Fernando Capretz and Danny Ho and Faheem Ahmed}, title = {A new calibration for Function Point complexity weights}, journal = {Information {\&} Software Technology}, volume = {50}, number = {7-8}, year  ...  VALIDITY ANALYSIS OF MODEL The two most important aspects of precision in experiment-based studies are reliability and validity.  ... 
doi:10.1016/j.infsof.2007.07.004 fatcat:vrb27djaejb2vbajsrkj5kluyy

Applicability of Galway River Flow Forecasting and Modeling System (GFFMS) for Lake Tana Basin, Ethiopia

Tesfaye A. Dessalegn, Mamaru A. Moges, Dessalegn C. Dagnew, Assegidew Gashaw
2017 Journal of Water Resource and Protection  
The most sensitive parameters were fine-tuned first and modeled for a calibration period of 1994-2004 for three selected watersheds of the Tana basin.  ...  ., autoregressive (AR), linear transfer function (LTF) and neuron network updating (NNU) methods were compared for stream flow forecasting, at one to six days lead time.  ...  based on the Nash model [21] .  ... 
doi:10.4236/jwarp.2017.912084 fatcat:7kdvuzv32ze2veckjxbuw2cyai

Just-in-time component-wise power and thermal modeling

Shah Mohammad Faizur Rahman, Qing Yi, Houman Homayoun
2015 Proceedings of the 12th ACM International Conference on Computing Frontiers - CF '15  
As computer systems increasingly focus on balancing the performance and power efficiency of software applications together with temperature variations of the machine, they need to understand how software  ...  This paper develops a power and temperature modeling framework to provide such timely feedback, which can then be used to support a dynamic optimization system to attain better energy efficiency for applications  ...  EXPERIMENTAL RESULTS To validate the accuracy of our calibrated McPAT model, we compare its modeling output for a variety of computational kernels and benchmark applications, with the actual dynamic power  ... 
doi:10.1145/2742854.2742880 dblp:conf/cf/RahmanYH15 fatcat:ifnc7y7tyvg7nbe6vn6fxx6qfi

Artificial neural networks in the calibration of nonlinear mechanical models

Tomáš Mareš, Eliška Janouchová, Anna Kučerová
2016 Advances in Engineering Software  
This contribution reviews and compares three possible strategies based on approximating (i) model response, (ii) inverse relationship between the model response and its parameters and (iii) error function  ...  The advantages and drawbacks of particular strategies are demonstrated on the calibration of four parameters of the affinity hydration model from simulated data as well as from experimental measurements  ...  We would like also to thank VítŠmilauer (CTU in Prague) for providing us with a code of afinity hydration model, experimental data and helpful advices.  ... 
doi:10.1016/j.advengsoft.2016.01.017 fatcat:llpugro6kbevrphneevssir7ue

A Java-based system for remote correction of CRT color distortion

A. Abrardo, M. Barni, V. Cappellini, M. Zappalorti, L. Fabiani
1999 1999 IEEE Third Workshop on Multimedia Signal Processing (Cat. No.99TH8451)  
the CRT model by relying on a set of measurements of the colours displayed by the CRT.  ...  Calibration of the output device used for the reproduction of digital colour images -a color CRT in most cases -can either be achieved through conventional techniques involving mathematical modeling of  ...  The rst one is based on a classical mathematical model of the CRT, whereas the second method is based on the approximation of CRT's behavior by means of a neural network.  ... 
doi:10.1109/mmsp.1999.793943 dblp:conf/mmsp/AbrardoBCZF99 fatcat:vrwmdjiq7jcjrinccbwkwinoti

Artificial Neural Network Combined with Principal Component Analysis for Resolution of Complex Pharmaceutical Formulations

Giuseppina Ioele, Michele De Luca, Erdal Dinç, Filomena Oliverio, Gaetano Ragno
2011 Chemical and pharmaceutical bulletin  
A chemometric approach based on the combined use of the principal component analysis (PCA) and artificial neural network (ANN) was developed for the multicomponent determination of caffeine (CAF), mepyramine  ...  A two layer ANN, using the first four PCs, was used with log-sigmoid transfer function in first hidden layer and linear transfer function in output layer.  ...  Acknowledgements The authors thank the Ministry of University and January 2011  ... 
doi:10.1248/cpb.59.35 pmid:21212544 fatcat:ruotwstnz5b7hi65jxsazqehve

Dynamic Calibration and Validation of an Accelerometer Force Balance for Hypersonic Lifting Models

Prakash Singh, Sharad Trivedi, Viren Menezes, Hamid Hosseini
2014 The Scientific World Journal  
Calibration and validation of the balance were carried out by a convolution technique using hammer pulse test and surface pressure measurements.  ...  Impulse response functions for three components of the balance, namely, axial, normal, and angular, were obtained for a range of input load.  ...  Figure 3 :Figure 4 : 34 Calibration signals, (a) applied load and (b) system output signals for axial component. System response function for axial component.  ... 
doi:10.1155/2014/813759 pmid:24574921 pmcid:PMC3918397 fatcat:4wkqzlhc5jgmdbel7v5o4v45ky

Combined Hydraulic and Black-Box Models for Flood Forecasting in Urban Drainage Systems

Michael Bruen, Jianqing Yang
2006 Journal of hydrologic engineering  
Many operational models are based on deterministic solutions of hydraulic equations.  ...  In simulation mode, however, only the nonlinear ANN model gave better performance in calibration, and a slight improvement in validation.  ...  Table 2 . 2 Results of Black-Box Model Simulation Improvement on HYDROWORKS at Catchment Outlet Model a Calibration Validation R 2 MSE R 2 MSE Base hydraulic model ͑HW͒ 85.29 1.01E  ... 
doi:10.1061/(asce)1084-0699(2006)11:6(589) fatcat:xyadgbkfezgnxhrmwqmqazc3ei

Model parameter identification from measurement data for dynamic torque calibration – Measurement results and validation

Leonard Klaus
2016 ACTA IMEKO  
The successful parameter identification is a prerequisite for a model-based dynamic calibration of torque transducers.</span></p>  ...  <p><span lang="EN-US">The dynamic calibration of torque transducers requires the </span><span lang="EN-GB">modelling</span><span lang="EN-US"> of the measuring device and of the transducer under test.  ...  It is based on the mechanical design of the components of the drive shaft. The representation of the model components and the corresponding components of the measuring device are given in Figure 2 .  ... 
doi:10.21014/acta_imeko.v5i3.318 fatcat:ndm2vft4argwrfdwuvqjuutpfe

Component Combination Test to Investigate Improvement of the IHACRES and GR4J Rainfall–Runoff Models

Mun-Ju Shin, Chung-Soo Kim
2021 Water  
Both effective rainfall production and routing components of the GR4J model were suitable for low-flow simulation of one dry catchment.  ...  Rainfall–runoff models are not perfect, and the suitability of a model structure depends on catchment characteristics and data.  ...  These catchments have different hydroclimatological conditions from wet to dry and different ranges of elevations and catchment characteristics [5] .  ... 
doi:10.3390/w13152126 fatcat:5avn3ztcqneohhqfkagongk6d4

Uncertainty, sensitivity analysis and the role of data based mechanistic modeling in hydrology

M. Ratto, P. C. Young, R. Romanowicz, F. Pappenberger, A. Saltelli, A. Pagano
2007 Hydrology and Earth System Sciences  
This allows for the pre-calibration of the the priors used for GLUE, in order to eliminate dynamical features of the TOPMODEL that have little effect on the model output and would be rejected at the structure  ...  The subsequent exercises in calibration and validation, performed with Generalized Likelihood Uncertainty Estimation (GLUE), are carried out in the light of the GSA and DBM analyses.  ...  Based on these data, the latter model, in particular, achieves excellent validation performance, with the model output explaining 94% of the observed flow, only marginally less than the 95% achieved in  ... 
doi:10.5194/hess-11-1249-2007 fatcat:5qijitkonvge3cr57lr5uycqaa

Uncertainty, sensitivity analysis and the role of data based mechanistic modeling in hydrology

M. Ratto, P. C. Young, R. Romanowicz, F. Pappenberge, A. Saltelli, A. Pagano
2006 Hydrology and Earth System Sciences Discussions  
This allows for the pre-calibration of the the priors used for GLUE, in order to eliminate dynamical features of the TOPMODEL that have little effect on the model output and would be rejected at the structure  ...  The subsequent exercises in calibration and validation, performed with Generalized Likelihood Uncertainty Estimation (GLUE), are carried out in the light of the GSA and DBM analyses.  ...  Based on these data, the latter model, in particular, achieves excellent validation performance, with the model output explaining 94% of the observed flow, only marginally less than the 95% achieved in  ... 
doi:10.5194/hessd-3-3099-2006 fatcat:3nafoyew35exnhbknxsazjanw4

A Neuro-Fuzzy Model for Function Point Calibration [article]

Wei Xia, Danny Ho, Luiz Fernando Capretz
2015 arXiv   pre-print
The need to update the calibration of Function Point (FP) complexity weights is discussed, whose aims are to fit specific software application, to reflect software industry trend, and to improve cost estimation  ...  The empirical validation using ISBSG data repository Release 8 shows a 22% improvement in software effort estimation after calibration using Neuro-Fuzzy technique.  ...  Researchers have directed their work at improving estimation accuracy using systematic models that based on a variety of measures of software size, such as lines of code (LOC) [2] and Function Point  ... 
arXiv:1507.06934v1 fatcat:l2xhfnddvrbyldmkxxutsuhf4e
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