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neshat--houman
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Total 11 records
| # | Type | Title | Author | Publisher | Pub. Year | Subjects | Call Number |
|---|---|---|---|---|---|---|---|
| 1 | پایان نامه | کنترل پیش بینانه فرایند با استفاده سلسله مراتبی از تحلیل رگرسیونی و شبکه عصبی مصنوعی (موردکاوی: فرایند اسپری درایینگ) Predictive Process Control Using a Hierachical Method Based on Regression Analysis and Artificial Neural Networks (case study: Spray Drying in Tile Industry) | نشاط، نجمه Neshat, Najmeh | صنعتی شریف | 1387 | کنترل پیش بین Predictive Control / شبکه عصبی مصنوعی Artificial Neural Network / مدل سازی Modeling / خشک کن پاشنده Spray Dryer / تحلیل برگشتی Regression Analysis |
01-39015
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| 2 | مقاله | Algebraic bound for the phase–frequency response of the commande robuste d'ordre non-entier approximation of fractional differentiators and its applications in control systems analysis | Neshat, K. | SAGE Publications Inc, | 2021 |
Control system analysis.
Frequency response. Systems analysis. Approximation process. Fractional differentiators. Fractional order transfer function. Fractional-order differentiators. ITS applications. Positive realness. Upper Bound. Algebra. |
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| 3 | مقاله | Algebraic bound for the phase–frequency response of the commande robuste d'ordre non-entier approximation of fractional differentiators and its applications in control systems analysis | Neshat, K. | SAGE Publications Inc, | 2022 |
Approximation.
Fractional-order controllers. Negative imaginary systems. Positive real systems. Stability analysis. Control system analysis. Frequency response. Systems analysis. Approximation process. Fractional differentiators. Fractional order transfer function. Fractional-order differentiators. ITS applications. Positive realness. Upper Bound. Algebra. |
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| 4 | مقاله | An enhanced neural network model for predictive control of granule quality characteristics | Neshat, N. | 2011 |
Artificial neural networks.
Particle size. Predictive control. Spray drying. Generalization capability. Input set. Integrated approach. Model complexity. Modelling. Multi-linear regression. Neural network model. Numerical results. Partial correlation. Process response. Process settings. Quality characteristic. Correlation methods. Forecasting. Granulation. Neural networks. Particle size analysis. Particles (particulate matter) Predictive control systems. Quality control. Regression analysis. Spray drying. Model predictive control. Artificial neural network. Correlation. Error analysis. Granular medium. Numerical model. Regression analysis. |
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| 5 | پایان نامه | بررسی ارتباط ساختار با خواص مغناطیسی و الکتریکی کامپوزیت مغناطیسی نرم پایه آهنی پوشش داده شده با نانوذرات مگنتیت Investigate the Relationship between the Structure of the Magnetic and Electrical properties of Iron-Based Soft Magnetic Composite Coated with Nanoparticles Magnetite | آزادمنش، عارفه Azadmanesh, Arefe | صنعتی شریف | 1393 | کامپوزیت های مغناطیسی نرم Soft Magnetic Composites (SMC) / مگنتیت Magnetite / خواص مغناطیسی جریان متناوب Alternative Current (AC)Magnetic Properties / خواص مغناطیسی جریان ثابت Direct Current (DC)Magnetic Properties |
07-47038
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| 6 | مقاله | Effect of reformer gas blending on homogeneous charge compression ignition combustion of primary reference fuels using multi zone model and semi detailed chemical-kinetic mechanism | Neshat, E. | Elsevier Ltd, | 2016 |
Homogeneous charge compression ignition engine.
Multi zone model. Reformer gas. Blending. Carbon. Carbon monoxide. Combustion. Diesel engines. Engines. Fuels. Heptane. Nitrogen oxides. Paraffins. Polyols. Temperature. Detailed chemical kinetic. Homogeneous charge compression ignition combustions. Homogeneous charge compression ignition engines. Low temperature heat release. Multi-zone models. Primary reference fuels. Thermodynamic effect. Unburned hydrocarbons. Ignition. |
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| 7 | مقاله | Investigation of the effect of reformer gas on PRFs HCCI combustion based on exergy analysis | Neshat, E. | Elsevier Ltd, | 2016 |
Availability analysis.
HCCI engine. Multi zone model. Primary reference fuels. Reformer gas. Additives. Blending. Chemical analysis. Combustion. Combustion chambers. Engines. Exergy. Fuel additives. Fuels. Gases. Heat convection. Heat transfer. Heptane. Ignition. Internal combustion engines. Mass transfer. Chemical kinetics mechanisms. Convective heat transfer. Detailed chemical kinetic. HCCI engine. Homogeneous charge compression ignition engines. Multi-zone models. Gas fuel analysis. |
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| 8 | پایان نامه | استخراج شرایط موهومی منفی بودن در سیستم های مرتبه کسری نامتغیر با زمان Conditions on Fractional-order LTI Systems to be Negative Imaginary | نشاط طاهرزاده، خشایار Neshat Taherzadeh, Khashayar | صنعتی شریف | 1397 | سیستم های موهومی منفی Negative Imaginary Systems / سیستم های حقیقی مثبت Positive Real Systems / سیستم مرتبه کسری Fractional Order System / تقریب استالوپ Oustaloup Approximation / نامساوی خطی ماتریسی Linear Matrix Inequality (LMI) |
05-52441
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| 9 | پایان نامه | مروری بر فیزیک سیاه چاله ها A Survey on Black Hole Physics | نشاط، هومن Neshat, Houman | دانشگاه صنعتی شریف | 1398 | سیاه چاله ها Black Holles / افق Horizon / معادله های اینشتین Eistein Equations / معادله های ژئودزیکی Geodesic Equations / تکینگی Singularity |
04-52366
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| 10 | مقاله | A comparative study on car ownership modeling by applying fuzzy linear regression and artificial neural network - case study of Iran | Azadeh, A. | 2010 |
Artificial neural network (ANN)
Car ownership. Fuzzy linear regression model (FLR) IC. MAPE. Car ownership. Car ownership models. Comparative studies. Demographic factors. Fuzzy concept. Fuzzy linear regression. Gasoline prices. Gross national product. Independent variables. MAPE. Mean absolute percentage error. Multi variables. Paper models. Per capita. Purchasing power. Total length. Urban population. Computer simulation. Integrated circuits. Neural networks. Linear regression. |
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| 11 | مقاله | A hierarchical artificial neural network for transport energy demand forecast: Iran case study | Kazemi, A. | 2010 |
ANNs.
BP algorithm. Economic and social indicators. Energy demands. Gross domestic products. Hierarchical artificial neural networks. Input variables. MLP. Model prediction. Model-based. Multi layer perceptron. Number of vehicles. Output variables. Regression model. Socio-economics. Transport energy. Transport energy demand. Transportation sector. Backpropagation algorithms. Economics. Energy management. Forecasting. Petroleum transportation. Population statistics. Regression analysis. Neural networks. |
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