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Intelligent Modeling; Single (Multi-layer perceptron) and Hybrid (Neuro-Fuzzy Network) Method in Forest Degradation (Case Study: Sari County)

کلیدواژه: Intelligent Modeling,Multilayer Perceptron,Neural-Fuzzy,Forest Degradation

نویسندگان: Mehrabadi Somayeh

ناشر: تحقیقات کاربردی علوم جغرافیایی - Journal of Applied Researches in Geographical Sciences

The classical methods, also known as hard methods, are based on the accuracy of calculations, while the real world is founded on the inaccuracy of boundaries and the uncertainties, which is more consistent with soft computing methods. Each of these methods has its own strengths and weaknesses, and t... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

9 بازدید

مشاهده/دانلود

Predicting Unconfined Compressive Strength of Intact Rock Using New Hybrid Intelligent Models

کلیدواژه: Intact rock,Unconfined compressive strength,Adaptive neuro-fuzzy inference system,Genetic algorithm,Particle swarm optimization

نویسندگان: REZAEI M., Asadizadeh M.

ناشر: معدن و محیط زیست - JOURNAL OF MINING AND ENVIRONMENTAL (INTERNATIONAL JOURNAL OF MINING & ENVIRONMENTAL ISSUES)

Bedrock unconfined compressive strength (UCS) is a key parameter in designing the geosciences and building related projects comprising both the underground and surface rock structures. Determination of rock UCS using standard laboratory tests is a complicated, expensive, and time-consuming process, ... ادامه

سال:2020

لینک به محتوا با زبان هدف

نوع سند: Article

3 دانلود

7 بازدید

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Designing a Hybrid Intelligent Model for Prediction of Stock Price Golden Points

کلیدواژه: financial markets,forecasting,stocks golden points,Data mining

نویسندگان: Moshari Mohammad, Didehkhani Hosein, Khalili Dameghani Kaveh, ABBASI EBRAHIM

ناشر: دانش سرمایه گذاری - INVESTMENT KNOWLEDGE

The purpose of this research is to provide an Intelligent model for prediction of golden points on stock price chart as a decision support system. For conduction of this research, the data of the automotive and parts manufacturing industry during 2001 through to 2016 were used. First, the obtained r... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

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Emerging Technologies Monitoring: Identification, Evaluation, and Selection for Intelligent Entry into Future-Making Domains

کلیدواژه: technology monitoring, Emerging and future-oriented fields, Innovative technologies, Nanotechnology

نویسندگان: Azad Shahraki Saber, Lotfi Zadeh Maryam, Rezayat Seyed Mahdi, Askari Alireza

ناشر: نانو مقیاس - NANOSCALE

This study presents a comprehensive process for monitoring emerging technologies to identify, evaluate, and select them for Intelligent entry into future-making domains. In the first phase, diverse sources, including research institutions, books, and start-ups, were analyzed using a 360-degree appro... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

4 دانلود

16 بازدید

مشاهده/دانلود

Prediction of Stream Flow Using Intelligent Hybrid Models in Monthly Scale (Case study: Zarrin roud River)

کلیدواژه: Hybrid Algorithms,Particle Swarm,Entropy,Discharge,Simulated Annealing

نویسندگان: Mohammadi Babak, MOAZENZADEH ROOZBEH

ناشر: علوم و تکنولوژی محیط زیست - Journal of Environmental Science and Technology

Background and Objective: Selecting appropriate inputs for Intelligent models are important because it reduces the cost and saves time and increases accuracy and efficiency of its models. The aim of the present study is the use of Shannon entropy to select the optimum combination of input variables ... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

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Regression Models and Hybrid Intelligent Systems for Estimating Clear-Sky Downward Longwave Radiation in Equatorial Africa

کلیدواژه: reformed modes, particle swarm optimisation, Genetic Algorithm, Adaptive neuro-fuzzy inference system, Artificial Neural Networks

نویسندگان: Obot Nsikan Ime

ناشر: مجله فیزیک زمین و فضا - Journal of the Earth and Space Physics

Modelling downward longwave radiation (DLR) in Equatorial Africa is challenging due to dense cloud cover and data scarcity. In this twofold study, daily cloudless DLR in Ilorin (8° 32′ N, 4° 34′ E), Nigeria, was modelled using two atmospheric factors, namely water vapour pressure and air temperature... ادامه

سال:2023

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

6 بازدید

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Prediction of Fiscal Decentralization Considerring Energy Consumption and Environmental Effects: By using Hybrid Intelligent Models Optimization Algorithms

کلیدواژه: Fiscal decentralization, Artificial neural network, Energy consumption

نویسندگان: Anvari Ebrahim, Jafari Elham, Farazmand Hassan, Montazer Hojet Amir Hossein

ناشر: اقتصاد باثبات - Stable Economy Journal

Fiscal decentralization refers to the transfer of responsibility and authority of revenue and spending decisions from the central government to lower levels. In recent years, with the increase in energy consumption, global warming, carbon emissions, and climate change, the issue of fiscal decentrali... ادامه

سال:2024

لینک به محتوا با زبان هدف

نوع سند: Article

2 دانلود

16 بازدید

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A Hybrid Intelligent Classification Model Based on Multilayer Perceptron Neural Networks and Fuzzy Regression for Credit Scoring Problems

کلیدواژه: Credit scoring,Classification methods,Multilayer perceptrons (MLPs),Artificial neural networks,Fuzzy logic

نویسندگان: KHASHEI M., TORBAT SH.

ناشر: روش های عددی در مهندسی (استقلال) - JOURNAL OF COMPUTATIONAL METHODS IN ENGINEERING (ESTEGHLAL)

Financial crises in banking systems are due to inability to manage credit risks. Credit scoring is one of the risk management techniques that analyze the borrower's risk. In this paper, using the advantages of computational intelligence as well as soft computing methods, a new hybrid approach is pro... ادامه

سال:2019

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

14 بازدید

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An Intelligent Hybrid Model for Determining Public-Private Partnership in Iranian Water and Wastewater Industry Based on Collective Tree Algorithms

کلیدواژه: Water and Wastewater Industry,Public-Private Partnership,Data Mining,Forecasting,Outsourcing

نویسندگان: ESKANDARI M., Taghavifard M. T., RAEESI VANANI I., Ghazi Noori S. S.

ناشر: آب و فاضلاب - Water and Wastewater

One of the pillars of any country’ s development is access to safe water and sanitation, so it is important to execute water and wastewater projects in the shortest possible time. In this regard, considering the emergence of various methods of partnership, choosing the right approach has beco... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

0 دانلود

15 بازدید

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An Intelligent Hybrid Segmentation Model Based on Fuzzy Logic, Discrete Wavelet Transform In Digital Imaging for Detection of Gastric Cancer

کلیدواژه: Fuzzy logic,Discrete Wavelet Transformation,Voting Mechanism,Stomach Cancer,SVM Algorithm

نویسندگان: Teimouri Paniz, MAZINANI MAHDI, HOSSEINI RAHIL

ناشر: مدل سازی در مهندسی - Modeling in Engineering

Gastric cancer is the first rank of cancer in Iran. If the disease is detected in early stages, treatment is probability to be furthered and treatment costs will be reduced. Due to the complexity of pathologic images and the fundamental challenges in these images, such as the poor contrast between t... ادامه

سال:2021

لینک به محتوا با زبان هدف

نوع سند: Article

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13 بازدید

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