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Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model

کلیدواژه: Arabic Handwritten Recognition,Deep Neural Networks,Hidden Markov Model,Kaldi Toolkit

نویسندگان: BABAALI BAGHER, Rekabdar Babak

ناشر: پردازش علایم و داده ها - SIGNAL AND DATA PROCESSING

In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and le... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

مشاهده/دانلود

Estimation of Reference Evapotranspiration Using Artificial Neural Network Models and the Hybrid Wavelet Neural Network

کلیدواژه: Water Requirement,Davbechies Wave-let,Temperature,Statistical Indices,Shahrekord

نویسندگان: GANJI KHORRAMDEL N., Hoseini S. M. R.

ناشر: علوم آب و خاک (علوم و فنون کشاورزی و منابع طبیعی) - Journal of Water and Soil Science

Estimation of evapotranspiration is essential for planning, designing and managing irrigation and drainage schemes, as well as water resources management. In this research, artificial Neural networks, Neural network wavelet model, multivariate regression and Hargreaves' empirical method were used to... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

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Non– Intrusive Appliance Load Disaggregation in Smart Homes Using Hybrid Constrained Particle Swarm Optimization and Factorial Hidden Markov Model

کلیدواژه: Non–,Intrusive Appliance Load Disaggregation,Smart Home,Swarm Particle Optimization,Factorial Hidden Markov Model

نویسندگان: DEJAMKHOOY ABDOLMAJID, AHMADPOUR ALI, POURJAFAR SAEED

ناشر: JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY - JOURNAL OF ENERGY MANAGEMENT AND TECHNOLOGY

Nowadays, the prediction of the load performances in the smart systems is necessary to generate the minimum energy. In a smart home, there are various appliances that each of them has different behavior. These differences defined as appliance states. In this paper, an effective hybrid method is prop... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

15 بازدید

مشاهده/دانلود

New Evidence from Oil Rent and Economic Growth in OPEC Countries: An Application of the Hybrid Model of Threshold Markov Switching Model

کلیدواژه: Oil Rent,Economic Growth,OPEC Countries,The Hybrid Threshold Markov Switching Model

نویسندگان: Sedaghat Kalmarzi Haniyeh, FATTAHI SHAHRAM, SOHAILI KIOMARS

ناشر: مدلسازی اقتصادسنجی - JOURNAL OF ECONOMIC MODELING

The relationship between oil and economic growth is one of the most important issues in the oil-exporting countries that the nature of the relationship is important for the economic policymakers of these countries. The purpose of this study was to examine the effects of oil rent on economic growth i... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

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Evaluating Performance of Hybrid Neural Network Models in Daily River Flow Estimation

کلیدواژه: Flow Discharge,Support Vector Machine,Wavelet Neural Network,Forecasting

نویسندگان: Younesi Hojatolah, GODARZI AHMAD

ناشر: ENVIRONMENTAL RESOURCES RESEARCH - ENVIRONMENTAL RESOURCES RESEARCH

River flow forecasting is of immense importance for reliable planning, designing, and management of water resources projects. This study investigated the performance of wavelet Neural network, support vector machine, artificial Neural network, and Multiple Models Driven by Artificial Neural Networks... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

15 بازدید

مشاهده/دانلود

Prediction of Land Cover Changes in Horizon of 2028 through a Hybrid Model of Markov Chain and Cellular Automata; Catchment Area around Bazangan Lake Case Study

کلیدواژه: Prediction of Changes,Markov Chain Model,Cellular Automata,Bazangan Lake,Remote Sensing

نویسندگان: ALIKHAH ASL M., REZVANI F.

ناشر: تحقیقات جغرافیایی - GEOGRAPHICAL RESEARCH

Introduction and Background Detection and prediction of changes are necessary for maintenance of an ecosystem particularly in rapidly-changing and often unplanned regions in developing countries. Aims This study predicts the land use changes in catchment area around Bazangan Lake for the year of 202... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

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Development of Earning Manipulation Prediction Model Applying Hybrid Neural Network and Cosmology Based Algorithms

کلیدواژه: Multi-layer perceptron neural network, Cosmology algorithms, Beneish model, Corporate governance system

نویسندگان: Maleki Nia Nahid, Tehrani Reza, Tabriz Akbar Akbar, Fallah Shams Mirfeiz

ناشر: اقتصاد پولی، مالی - Monetary and Financial Economics

Extended abstract1- INTRODUCTIONAccurately predicting earning manipulation in order to detect and identify manipulation of financial statements has always been one of the most fundamental challenges ahead of financial reports users. Because of increasing financial reporting fraud, this fact resulted... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

13 بازدید

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Spatial-Temporal Disaggregation of Rainfall Time Series Using Wavelet-Artificial Neural Network Hybrid Model

کلیدواژه: Rainfall Time Series,Disaggregation,Artificial Neural Networks,Wavelet Transform,Hybrid Model

نویسندگان: Farboudfam N., NOURANI V., AMINNEJAD B.

ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)

Due to the need to simulate rainfall time series at different time scales for engineering purposes on one hand and lack of recordings for these parameters in small scales caused by the administrative and financial problems, on the other hand, disaggregation of rainfall time series to the desired sca... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

13 بازدید

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Prediction of Meteorological Droughts in Kuhrang Using the Hybrid Model of Wavelet and Artificial Neural Network

کلیدواژه: Meteorological Drought, WANN model, ANN Model, SPI Index, RDI index, Kuhrang

نویسندگان: Bahrami Samani Marziyeh, Mirabbasi Najafabadi Rasoul, Ghasemi Dastgerdi Ahmad Reza, Abdollahi AsadAbadi Sajjad

ناشر: علوم و مهندسی آبیاری - Journal of Irrigation Sciences and Engineering

Meteorological drought is defined as a lack of rainfall over long periods, which reduces soil moisture and river flow. One of the critical drought assessment tools is drought indices (Tsakiris & Vangelis, 2005). So far, many drought indicators have been developed by researchers, for example, the RDI... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

5 دانلود

14 بازدید

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Hybrid Artificial Neural Network-Geostatistics Model for Urban Water Consumption Prediction. A Case Study: Osku City

کلیدواژه: Prediction,Water Consumption,Hybrid Model,Artificial Neural Network,Geostatistic,Osku City

نویسندگان: Goli Ejlali R.

ناشر: آب و فاضلاب - Water and Wastewater

The prediction of water consumption in urban basins is of immense importance for the management of water resources, especially in arid and semiarid countries. The lack of strong predictive tools, or perhaps the lack of experienced users to those tools, may contribute to problems in data interpretati... ادامه

سال:2018

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

16 بازدید

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