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Investigating the power of goodness-of-fit tests for multinomial logistic regression
Taylor & Francis Verlag | 2018|Goodness-of-fit tests are important to assess if the model fits the data. In this paper we investigate the Type I
...Schlagwörter: Goodness-of-fit test -
Investigating the power of goodness-of-fit tests for multinomial logistic regression
British Library Online Contents | 2018| -
Artificial bee colony algorithm for small signal model parameter extraction of MESFET
Tema Archiv | 2010|This paper presents an application of swarm intelligence technique namely artificial bee colony (ABC) to extract the small signal ...Schlagwörter: ABC (artificial bee colony) -
Peripheral pulse multi-Gaussian decomposition using a modified artificial bee colony algorithm
Elsevier | 2020|. Artificial bee colony (ABC) and modified ABC algorithm is adopted for curve-fitting problem ...Schlagwörter: Artificial bee colony algorithm -
An effective hybrid honey bee mating optimization algorithm for balancing mixed-model two-sided assembly lines
Online Contents | 2015|some efficient approaches to address this problem. Honey bee mating optimization (HBMO) algorithm is a population-based algorithm inspired by ... -
An effective hybrid honey bee mating optimization algorithm for balancing mixed-model two-sided assembly lines
Elsevier | 2014|in a reasonable computational time. So it is necessary for researchers to find some efficient approaches to address this problem. Honey bee ...Schlagwörter: Honey bee mating optimization -
Density approximations and VaR computation for compound Poisson-lognormal distributions
Taylor & Francis Verlag | 2017|Beta distribution of the second kind (GB2) and a mixture of lognormals are found to provide a good fit. In certain cases, the GB2 can be ... -
Density approximations and VaR computation for compound Poisson-lognormal distributions
Online Contents | 2017|second kind (GB2) and a mixture of lognormals are found to provide a good fit. In certain cases, the GB2 can be estimated by moment-matching ... -
A Curve-Free Bayesian Decision-Theoretic Design for Phase Ia/Ib Trials Considering Both Safety and Efficacy Outcomes
Springer Verlag | 2020|measure of the goodness of fit of a candidate step function is proposed, and the interval of BEDs associated with the best fitting step function ... -
On maximum likelihood estimation of a Pareto mixture
Springer Verlag | 2011|application in the operational risk measurement field: we fit a Pareto mixture to operational losses recorded by a bank in two different business ... -
On maximum likelihood estimation of a Pareto mixture
Online Contents | 2011|risk measurement field: we fit a Pareto mixture to operational losses recorded by a bank in two different business lines. Under the assumption ... -
Modified ANFIS with Less Model Complexity for Classification Problems
Springer Verlag | 2018|Abstract A machine learning technique develops the best-fit model by adjusting weights based on ...Schlagwörter: Artificial bee colony -
A Multi-Service Composition Model for Tasks in Cloud Manufacturing Based on VS–ABC Algorithm
Freier ZugriffDOAJ | 2022|insufficient resources and uncertain services; however, the current study does not fit this situation well. A multi-service composition for complex ... -
Abstract concept learning in a simple neural network inspired by the insect brain.
Freier ZugriffDOAJ | 2018|report a model of the structures of the honey bee brain that can learn sameness and difference, as well as a range of complex and simple ... -
Data-driven state-of-charge prediction of a storage cell using ABC/GBRT, ABC/MLP and LASSO machine learning techniques
Elsevier | 2023|. This work is concerned with SOC prediction using machine learning techniques. Three machine learning tools, called Artificial Bee Colony ...Schlagwörter: Artificial Bee Colony (ABC) -
How to model honeybee population dynamics: stage structure and seasonality
Freier ZugriffDOAJ | 2020|brood population; and (2) seasonality in the queen egg laying rate, give the better fit than other honeybee models. The related theoretical and ... -
Kinetic models for peptide-induced leakage from vesicles and cells
Online Contents | 2007|fitting routines have been developed involving only two fitting parameters, and these have been used to fit experimental data for two prion ... -
Kinetic models for peptide-induced leakage from vesicles and cells
Springer Verlag | 2007|the kinetic models simple fitting routines have been developed involving only two fitting parameters, and these have been used to fit ... -
Apis-Prime: A deep learning model to optimize beehive monitoring system for the task of daily weight estimation
Elsevier | 2023|-Prime improves the state-of-the-art of earlier proposed WE-Bee (Anwar et al., 2022), and also helps optimize the beehive monitoring systems for ... -
Determination of a Hysteresis Model Parameters with the Use of Different Evolutionary Methods for an Innovative Hysteresis Model
Freier ZugriffDOAJ | 2020|three different strategies, teaching−learning-based optimization and Artificial Bee Colony, were used for testing seven different modified ...
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