Search Results - (( model validation from algorithm ) OR ( _ presentation based algorithm ))
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1
Model structure selection for a discrete-time non-linear system using genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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3
Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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4
A multi-depot vehicle routing problem with stochastic road capacity and reduced two-stage stochastic integer linear programming models for rollout algorithm
Published 2021“…The results obtained from the resulting rollout policy with CPLEX execution during rollout are also presented to validate the reduced model and the matheuristic algorithm. …”
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5
Optimization of assembly line balancing with energy efficiency by using tiki-taka algorithm
Published 2023“…Lastly, a study of the industrial case was performed as a validation of the developed model and algorithm. An automotive company is selected, and the collected actual data is used for validation purposes. …”
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Sketch-based 3D modeling of symmetric objects from wireframe sketches on paper
Published 2016“…The results of the validation show a complete similarity between each original face and the output from our algorithm. …”
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7
Model structure selection for a discrete-time non-linear system using a genetic algorithm
Published 2004“…The adequacy of the developed models is tested using one-step-ahead prediction and correlation-based model validation tests. …”
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8
An intelligent framework for modelling and active vibration control of flexible structures
Published 2004“…The first controller design is formulated so as to allow on-line modeling, controller design and implementation and thus, yield a self-tuning control algorithm. …”
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9
Intergrated multi-objective optimisation of assembly sequence planning and assembly line balancing using particle swarm optimisation
Published 2013“…The performance of the MODPSO algorithm is finally validated using artificial problems from the literature and real-world problems from assembly products.…”
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10
Fatigue Life Estimation Based On Continuum Mechanics Theory With Application Of Genetic Algorithm
Published 2015“…In recent years research on fatigue estimation methods has focused on developing the capability to handle complex multiaxial loading conditions. The present study presents the development of a new fatigue life estimation model using the concepts of continuum mechanics with a critical plane based approach, where a genetic algorithm is used to estimate the coefficients of the model. …”
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11
Independent And Dependent Job Scheduling Algorithms Based On Weighting Model For Grid Environment
Published 2018“…The resulting model is then applied onto the independent and dependent job scheduling algorithms to verify the capability of proposed job scheduling model in a real environment. …”
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12
Neural network algorithm-based fall detection modelling
Published 2020“…However, the improvement of model accuracy is still needed. This article presents results of modelling for fall detection system by using nonlinear autoregression neural network NARnet algorithm. …”
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13
Development of intelligent 3D solid modeler based on artificial intelligent technique
Published 2008“…The neural network models and the hybrid algorithm have been tested and validated on three solid models namely cube, L-block and stair by using Matlab 7.14 software. …”
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14
Greedy-assisted teaching-learning-based optimization algorithm for cost-based hybrid flow shop scheduling
Published 2025“…However, limited attention has been given to CHFS when considering holistic cost models using efficient algorithms. This paper presents a novel Greedy-Assisted Teaching-Learning-Based Optimization (GTLBO) algorithm for CHFS. …”
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15
Gravitational search – bat algorithm for solving single and bi-objective of non-linear functions
Published 2018“…The BOGS-BAT algorithm is based on three techniques. The first technique is to move or switch solution from single function to functions that contain more than one objective functions. …”
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16
Hybrid weight deep belief network algorithm for anomaly-based intrusion detection system
Published 2022“…In this study, the Deep Belief Network algorithm was optimized and constructed to design an effective NIDS anomaly model. …”
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17
Prediction of photovoltaic system output using hybrid Cuckoo Search Least Square Support Vector Machine / Muhammad Aidil Adha Aziz
Published 2019“…This algorithm imitated from the effort of the cuckoos to survive. …”
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18
Active vibration control of a flexible beam structure using chaotic fractal search algorithm
Published 2017“…Parametric modeling of the system was developed using auto-regressive exogenous (ARX) model structure based on the input-output data from previous experimental finding. …”
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Optimization of RFID network planning for monitoring railway mechanical defects based on gradient-based Cuckoo search algorithm
Published 2020“…In conclusion, this study presented a novel hybrid evolutionary algorithm based on the combination of AHP with GBCS to specify optimal RFID reader positions and amount based on the working train station domain. …”
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An Integrated Approach For Fatigue Life Estimation Based On Continuum Mechanics Theory And Genetic Algorithm
Published 2015“…This paper presents the performance analysis of a newly proposed fatigue estimation model. …”
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