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moshkbar-bakhshayesh--khalil
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| # | Type | Title | Author | Publisher | Pub. Year | Subjects | Call Number |
|---|---|---|---|---|---|---|---|
| 1 | پایان نامه | توسعه الگوریتم اعتبار بخشی و کالیبراسیون سنسور های ترموهیدولیکی مدار اول نیروگاه بوشهر با استفاده از شبکه های عصبی Development of a Validation and Calibration Algorithm for Thermohydraulic Sensors of Bushehr NPP First Circuit Using Neural Networks | ابراهیم زاده، علیرضا Ebrahimzadeh, Alireza | صنعتی شریف | 1400 | شبکه عصبی Neural Network / گزینش ویژگی Feature Selection / برآورد Estimation / شناسایی Identification / حسگرها Sensors / آشکارسازی Detection / نیروگاه های هسته ای Nuclear Power Plants / کد ریلپ 5 RELAP5 Code |
46-54500
|
| 2 | پایان نامه | تخمین پارامترهای تاثیرگذار در بهرهبرداری از نیروگاه اتمی بوشهر با استفاده از شبکه عصبی Estimation Influential Parameters in Operation of the Bushehr Nuclear Power Plant using Neural Network | قنبری، محمد Ghanbari, Mohammad | صنعتی شریف | 1395 | گزینش ویژگی Feature Selection / شبکه عصبی Neural Network / بهینه سازی گروه ذرات Particles Swarm Optimization (PSO) / حسابگری نرم Soft Computation / تخمین پارامتر Parameter Estimation / نیروگاه هسته ای بوشهر Bushehr Nuclear Power Plant |
46-49324
|
| 3 | پایان نامه | شبیه سازی باتری پی دِک همراه با مقایسه تطبیقی پارامترهای مؤثر بر بازدهی آن PIDEC Batteries Simulation Accompany with Comparative Study of Key Parameters on its Efficiency | میرهادی، حسنا سادات Mirhadi, Hosna Sadat | صنعتی شریف | 1400 | رادیوایزوتوپ ها Radioisotops / شبیه سازی مونت کارلو Monte Carlo Simulation / چشمه های پرتودهی Radiation Sources / تبدیل انرژی تابشی Radiation Energy Conversion / باتری هسته ای Nuclear Battery / باتری های پی دک Photon Intermediate Direct Energy Conversion (PIDEC)Batteries |
46-54454
|
| 4 | پایان نامه | طراحی و توسعه آشکارساز بی سیم گاما به همراه استفاده از محاسبات نرم برای شناسایی نوع رادیو ایزوتوپ به منظور پایش محیطی Design and Development of Gamma Wireless Detector with the Use of Soft Computing to Identify the Type of Radioisotope for Environmental Monitoring | علیزاده بیاتی، زینب Alizadeh Bayati, Zeynab | صنعتی شریف | 1400 | سیستم های فازی Fuzzy Systems / مدل سازی فازی تاکاگی - سوگنو Takagi-Sugeno"s Fuzzy Modeling / حسابگری نرم Soft Computation / آشکارساز بی سیم Wireless Detector / آشکارسازی چشمه های گامازا Gamma Source Detection / شناسایی هوشمند عناصر Intelligent Element Identification |
46-54714
|
| 5 | پایان نامه | تخمین پارامتر ضریب بیشینه قدرت در راکتور نیروگاه بوشهر با استفاده از محاسبات نرم Estimation of Power Peaking Factor (PPF)Parameter in VVER Reactor Using Soft Computing, Case Study: Bushehr Nuclear Power Plant | شریفی، سعید Sharifi, Saeed | صنعتی شریف | 1399 | تخمین پارامتر Parameter Estimation / نیروگاه های هسته ای Nuclear Power Plants / گزینش ویژگی Feature Selection / ضریب اوج قدرت Power Peaking Factor / ضریب همبستگی Correlation Coefficient / حسابگری نرم Soft Computation / ایمنی هسته ای Nuclear Safety |
46-53829
|
| 6 | مقاله | Comparative study of application of different supervised learning methods in forecasting future states of NPPs operating parameters | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2019 |
Bayesian regularization.
Cascade feed-forward neural network. Gaussian function. Localized networks. NPP parameters forecasting. Support vector regression. Backpropagation. Bayesian networks. Conjugate gradient method. Distribution functions. Forecasting. Gaussian distribution. Loss of coolant accidents. Machine learning. Nuclear fuels. Nuclear power plants. Reactor cores. Time series. Feed-forward back propagation. Gaussian functions. Large break loss of coolant accidents. Scaled conjugate gradients. Supervised learning methods. Support vector regression (SVR) Time series prediction. Learning algorithms. |
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| 7 | مقاله | Development of a novel analytical method for calculating the dose equivalent rate as a case study of fields which obey the inverse square law | Moshkbar Bakhshayesh, K. | Institute of Physics Publishing, | 2019 |
Dosimetry concepts and apparatus.
Models and simulations. Inverse problems. Numerical methods. Analytical calculation. Analytical method. Dose calculation. Inverse square law. Monte Carlo codes. Monte Carlo techniques. Radiation source. Rectangular surfaces. Monte Carlo methods. |
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| 8 | مقاله | Calculating the dose equivalent of coordinate surfaces of the Cartesian geometry: A new analytical method compared with Monte Carlo method | Moshkbar Bakhshayesh, K. | Institute of Physics Publishing, | 2019 |
Gamma rays.
Analytical calculation. Cartesian geometry. Monte Carlo codes. Monte Carlo techniques. Parametric -analysis. Radiation emitters. Rectangular shapes. Rectangular surfaces. Monte Carlo methods. |
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| 9 | مقاله | Bayesian regularization of multilayer perceptron neural network for estimation of mass attenuation coefficient of gamma radiation in comparison with different supervised model-free methods | Moshkbar Bakhshayesh, K. | IOP Publishing Ltd, | 2020 |
Calibration.
Cluster finding. Fitting methods. Pattern recognition. Decision trees. Distribution functions. Gamma rays. Learning algorithms. Multilayers. Support vector machines. Trees (mathematics) Bayesian regularization. Cumulative distribution function. Lightweight materials. Mass attenuation coefficients. Mean relative error. Multilayer perceptron neural networks. Radial basis networks. Supervised methods. Multilayer neural networks. Interaction of radiation with matter. Radiation calculations. |
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| 10 | مقاله | Constructing energy spectrum of inorganic scintillator based on plastic scintillator by different kernel functions of SVM learning algorithm and TSC data mapping | Moshkbar Bakhshayesh, K. | Institute of Physics Publishing, | 2020 |
Particle detectors.
Pattern recognition. Scintillators and scintillating fibres and light guides. Gamma ray spectrometers. Ionization. Mapping. Optical fibers. Radioisotopes. Scintillation counters. Sodium Iodide. Spectroscopy. Support vector machines. Testing. Cross correlation techniques. Detection/identification. Fitting method. Gaussian kernel functions. High resolution detector. Liquid scintillator detectors. Plastic scintillator detector. Scintillating fibres. Radioactivity. Cluster finding. Calibration and fitting methods. |
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| 11 | مقاله | Development of an efficient technique for constructing energy spectrum of NaI(Tl) detector using spectrum of NE102 detector based on supervised model-free methods | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2020 |
Energy spectrum construction.
NaI (Tl) detector. NE102 detector. Radial basis network. Supervised model-free methods. Decision trees. Feedforward neural networks. Iodine compounds. Radioisotopes. Scintillation counters. Spectroscopy. Statistical methods. Support vector machines. Inorganic scintillator. Mapping functions. Multi layer perceptron. Organic scintillator. Radial basis networks. Resolution detectors. Supervised learning methods. Supervised methods. Learning systems. Americium 241. Cesium 137. Cobalt 60. Sodium 22. Sodium iodide. Controlled study. Decision tree. Learning algorithm. Multilayer perceptron. Radial basis function neural network. Radiation detection. Radiation energy. Spectrum. Support vector machine. |
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| 12 | مقاله | Prediction of unmeasurable parameters of NPPs using different model-free methods based on cross-correlation detection of measurable/unmeasurable parameters: a comparative study | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2020 |
Bayesian regularization.
Cross-correlation detection. Decision tree. Feed-forward back propagation neural network. Support vector machine. Unmeasurable parameters. Backpropagation algorithms. Control rods. Decision trees. Feed-forward neural networks. Forecasting. Gradient methods. Learning algorithms. Nuclear energy. Nuclear fuels. Nuclear power plants. Support vector machines. Torsional stress. Correlation techniques. Cross correlations. Feed-forward back-propagation neural networks. Gaussian kernel functions. Maximum temperature. Scaled conjugate gradients. Parameter estimation. |
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| 13 | مقاله | Performance study of bayesian regularization based multilayer feed-forward neural network for estimation of the uranium price in comparison with the different supervised learning algorithms | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2020 |
Bayesian regularization.
Feed-forward neural network. Generalization. Supervised learning methods. Uranium price estimation. Cost estimating. Decision trees. Distribution functions. Feed-forward neural networks. Multilayer neural networks. Multilayers. Nuclear fuels. Nuclear power plants. Support vector machines. Uranium. Cumulative distribution function. Mean relative error. Multilayer feed forward neural networks. Parameters estimation. Radial basis networks. Regularization technique. Supervised methods. Learning algorithms. |
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| 14 | مقاله | Identification of the appropriate architecture of multilayer feed-forward neural network for estimation of NPPs parameters using the GA in combination with the LM and the BR learning algorithms | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2021 |
Feedforward neural networks.
Genetic algorithms. Learning algorithms. Multilayer neural networks. Multilayers. Network architecture. Neurons. Nuclear energy. Nuclear fuels. Nuclear power plants. Accurate estimation. Bayesian regularization. Hidden layers. Levenberg-Marquardt. Levenberg-Marquardt learning algorithms. Multi-layer feedforward neural networks (MLFNN) Multilayer feed-forward neural network architecture. Nuclear power plant parameter estimation. Number of hidden neurons. Target parameter. Parameter estimation. |
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| 15 | مقاله | Investigating the performance of the supervised learning algorithms for estimating NPPs parameters in combination with the different feature selection techniques | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2021 |
Large dataset.
Learning algorithms. Nuclear fuels. Nuclear power plants. Parameter estimation. Support vector machines. Accurate estimation. Bayesian regularization. Feature selection technique. Features selection. No free lunch theorem. NPP parameter estimation. Performance. Supervised learning algorithm. Universal approach. Feature extraction. |
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| 16 | مقاله | The ensemble approach in comparison with the diverse feature selection techniques for estimating NPPs parameters using the different learning algorithms of the feed-forward neural network | Moshkbar Bakhshayesh, K. | Korean Nuclear Society, | 2021 |
Combination technique.
Supervised learning algorithm. Parameter estimation. Heterogeneous ensemble. Features selection technique. |
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| 17 | مقاله | Developing a new approach for material discrimination using modular radial basis neural networks based on dual-energy X-ray radiography | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2023 |
Dual-energy X-ray radiography.
Material discrimination. Modular identifier. Radial basis network. Standard deviation. |
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| 18 | مقاله | Classification of NPPs transients using change of representation technique: A hybrid of unsupervised MSOM and supervised SVM | Moshkbar Bakhshayesh, K. | Elsevier Ltd, | 2019 |
Bushehr nuclear power plant.
Change of representation. Identification. Iris flower dataset. Self-organizing map. Support vector machine. Conformal mapping. Control rods. Identification (control systems) Input output programs. Machine learning. Nuclear energy. Nuclear fuels. Nuclear power plants. Self organizing maps. Supervised learning. Support vector machines. Unsupervised learning. Bushehr. Change of representation. Input patterns. Prediction accuracy. Quasi-static. Representation techniques. Semi- supervised learning. Learning algorithms. |
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| 19 | مقاله | Unsupervised classification of NPPs transients based on online dynamic quantum clustering | Moshkbar Bakhshayesh, K. | Springer Verlag, | 2019 |
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| 20 | مقاله | Developing an approach for fast estimation of range of ion in interaction with material using the Geant4 toolkit in combination with the neural network | Moshkbar Bakhshayesh, K. | Korean Nuclear Society, | 2022 |
Bayesian regularization.
Feed-forward neural network. Geant4 toolkit. Ion range. |
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