Reactive control of a wave energy converter using artificial neural networks
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شبکه های عصبی مصنوعی تا حد زیادی ملهم از سیستم های یادگیر طبیعی است که در آنها یک مجموعه پیچیده از نرونهای به هم متصل در کار یادگیری دخیل هستند. انواع مختلفی از مدل های محاسباتی تحت عنوان کلی شبکه های عصبی مصنوعی معرفی شده اند، که هر یک برای دسته ای از کاربردها قابل استفاده اند و در هر کدام، از وجه مشخصی از قابلیت ها و خواص مغز انسان، الهام گرفته شده است. امروز به قدری استفاده از سیستم های هوشمند، به ویژه شبکه عصبی مصنوعی گسترده شده است، که می توان این ابزارها را، در ردیف عملیات پایه ریاضی و به عنوان ابزارهای عمومی و مشترک طبقه بندی کرد. چرا که کمتر رشته دانشگاهی است که نیازی به تحلیل، تصمیم گیری، تخمین، پیش بینی، طراحی و ساخت داشته باشد، و در آن از موضوع شبکه های عصبی استفاده نشده باشد.
در این صفحه، تعداد 164 مقاله انگلیسی از ژورنال ها و مجلات معتبر پایگاه ساینس دایرکت (ScienceDirect) درباره موضوع شبکه های عصبی مصنوعی آرشیو شده است که شما می توانید مقالات مورد نظر خود را بر اساس سال انتشار، موضوع مقاله، وضعیت ترجمه و تعداد صفحات، انتخاب نموده و دانلود فرمایید.
در صورتی که مقاله لاتین مورد نظر شما تا کنون به زبان فارسی ترجمه نشده باشد، واحد ترجمه پایگاه ISI Articles با همکاری تنی چند از اساتید و مترجمان با سابقه، آمادگی دارد آن را در اسرع وقت و با کیفیت مطلوب برای شما ترجمه نماید.
در صورتی که مقاله لاتین مورد نظر شما تا کنون به زبان فارسی ترجمه نشده باشد، واحد ترجمه پایگاه ISI Articles با همکاری تنی چند از اساتید و مترجمان با سابقه، آمادگی دارد آن را در اسرع وقت و با کیفیت مطلوب برای شما ترجمه نماید.
An artificial neural network to predict resting energy expenditure in obesity
Rapid soil classification using artificial neural networks for use in constructing compressed earth blocks
An optimization of artificial neural network model for predicting chlorophyll dynamics
A sub-space artificial neural network for mold cooling in injection molding
Cytotoxicity of chitosan/streptokinase nanoparticles as a function of size: An artificial neural networks study
Quantitative estimation of poly(methyl methacrylate) nano-fiber membrane diameter by artificial neural networks
Optimal design of permanent magnet flux switching generator for wind applications via artificial neural network and multi-objective particle swarm optimization hybrid approach
A novel combination of experimental design and artificial neural networks as an analytical tool for improving performance in thermospray flame furnace atomic absorption spectrometry
A modified tunneling function method for non-smooth global optimization and its application in artificial neural network
Predicting prolonged length of hospital stay in older emergency department users: Use of a novel analysis method, the Artificial Neural Network
Optimization of controlled release nanoparticle formulation of verapamil hydrochloride using artificial neural networks with genetic algorithm and response surface methodology
Incorporating Artificial Neural Networks in the dynamic thermal–hydraulic model of a controlled cryogenic circuit
Creep modelling of polypropylenes using artificial neural networks trained with Bee algorithms
Classification of estrogen receptor selective compounds with benzopyranskeleton using counterpropagation artificial neural networks optimised by genetic algorithms
Towards modeling of combined cooling, heating and power system with artificial neural network for exergy destruction and exergy efficiency prognostication of tri-generation components
Effects of engine parameters on ionization current and modeling of excess air coefficient by artificial neural network
Early detection and prediction of leaks in fluidized-bed boilers using artificial neural networks
Predicting menopausal symptoms with artificial neural network
Assessing the quality of eight different maximum temperature time series as inputs when using artificial neural networks to forecast monthly rainfall at Cape Otway, Australia
Verifying the performance of artificial neural network and multiple linear regression in predicting the mean seasonal municipal solid waste generation rate: A case study of Fars province, Iran
Development of a dynamic artificial neural network model of an absorption chiller and its experimental validation
A study on the fatigue damage model for Gaussian wideband process of two peaks by an artificial neural network
Improved system identification using artificial neural networks and analysis of individual differences in responses of an identified neuron
Application of artificial neural networks to predict the hardness of Ni–TiN nanocoatings fabricated by pulse electrodeposition
Prediction of cutting temperature in orthogonal machining of AISI 316L using artificial neural network
Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings
Solubility of hydrogen sulfide in ionic liquids for gas removal processes using artificial neural networks
Classification of DNA microarrays using artificial neural networks and ABC algorithm
A new model selection strategy in time series forecasting with artificial neural networks: IHTS
A regime-dependent artificial neural network technique for short-range solar irradiance forecasting
Wind turbine power curve modelling using artificial neural network
Estimation of CO2–brine interfacial tension using an artificial neural network
Artificial neural networks reveal a high-resolution climatic signal in leaf physiognomy
Determination of DPPH free radical scavenging activity: Application of artificial neural networks
Extended forecast methods for day-ahead electricity spot prices applying artificial neural networks
Artificial neural network application to predict the sawability performance of large diameter circular saws
Energy consumption control automation using Artificial Neural Networks and adaptive algorithms: Proposal of a new methodology and case study
Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate
Deployment of artificial neural network for short-term forecasting of evapotranspiration using public weather forecast restricted messages
Indirect model for roughness in rough honing processes based on artificial neural networks
Applying artificial neural networks (ANN) to the estimation of thermal contact conductance in the exhaust valve of internal combustion engine
Project selection in project portfolio management: An artificial neural network model based on critical success factors
An Artificial Neural Network based expert system fitted with Genetic Algorithms for detecting the status of several rotary components in agro-industrial machines using a single vibration signal
Applicability of artificial neural network and nonlinear regression to predict thermal conductivity modeling of Al2O3–water nanofluids using experimental data ☆
Modular implementation of artificial neural network in predicting in-flight particle characteristics of an atmospheric plasma spray process
Appraisal of artificial neural network-genetic algorithm based model for prediction of the power provided by the agricultural tractors
Performance and Exhaust Emissions of a SI Two-stroke Engine with Biolubricants Using Artificial Neural Network ☆
Prediction of transient chemistry effect during fuel pyrolysis on the pressure drop through porous material using artificial neural networks
Predicting the flame characteristics and rate of spread in fires propagating in a bed of Pinus pinaster using Artificial Neural Networks
Gold price volatility: A forecasting approach using the Artificial Neural Network–GARCH model
Prediction of unconfined compressive strength of geopolymer stabilized clayey soil using Artificial Neural Network
An artificial neural network approach for modeling the ward atmosphere in a medical unit
Cancer adjuvant chemotherapy strategic classification by artificial neural network with gene expression data: An example for non-small cell lung cancer
An SEM–artificial-neural-network analysis of the relationships between SERVPERF, customer satisfaction and loyalty among low-cost and full-service airline
Fault diagnosis on beam-like structures from modal parameters using artificial neural networks
Artificial neural network models for predicting the solar radiation as input of a concentrating photovoltaic system
Estimation of the moisture content of tropical soils using colour images and artificial neural networks
Investigating the performance of support vector machine and artificial neural networks in predicting solar radiation on a tilted surface: Saudi Arabia case study
Correcting geometric deviations of CNC Machine-Tools: An approach with Artificial Neural Networks
Artificial neural networks applied to port operability assessment
New wind speed forecasting approaches using fast ensemble empirical model decomposition, genetic algorithm, Mind Evolutionary Algorithm and Artificial Neural Networks
Assessment of artificial neural network and genetic programming as predictive tools
Estimation of relative power distribution and power peaking factor in a VVER-1000 reactor core using artificial neural networks
Coagulation modeling using artificial neural networks to predict both turbidity and DOM-PARAFAC component removal
Artificial Neural Network ensemble modeling with conjunctive data clustering for water quality prediction in rivers
Wind speed prediction in the mountainous region of India using an artificial neural network model
Artificial neural network modeling of a photovoltaic-thermal evaporator of solar assisted heat pumps
Modeling of pneumatic artificial muscle using a hybrid artificial neural network approach
Dual-modality and dual-energy gamma ray densitometry of petroleum products using an artificial neural network
Online heat flux estimation using artificial neural network as a digital filter approach
A novel hybrid learning algorithm for full Bayesian approach of artificial neural networks
Artificial neural network modeling on the relative importance of alloying elements and heat treatment temperature to the stability of α and β phase in titanium alloys
Combining deterministic modelling with artificial neural networks for suspended sediment estimates