ورود/ثبت نام
جستجو
مرتبط ترین ها
به روز ترین ها
پر بازدیدترین ها
پر دانلودترین ها
فیلتر ها
از سال
تا سال
زبان
نوع محتوا
نوع دسته بندی
متن کامل
کلیدواژه: SVM,Wavelet transfor,SOM,Groundwater,Ardabil plain
نویسندگان: Daneshvar Vousoughi Farnaz, Manafian azar Vahid
ناشر: هیدروژئومورفولوژی - HYDROGEOMORPHOLOGY
Groundwater has played an important role in the urban and rural water supply and agriculture. In order to manage water resources, an accurate and reliable Groundwater level forecasting is needed. In this research, 15 piezometers in Ardabil plain were used. SVM was applied for a prediction method in ... ادامه
سال:2019
مشاهده/دانلود
کلیدواژه: credit risk,credit rating,support vector machine,feature selection,Binary ACO,VIKOR
نویسندگان: HUSSEINZADEH KASHAN ALI, GAROUSI FATEMEH
ناشر: راهبرد مدیریت مالی - JOURNAL OF FINANCIAL MANAGEMENT STRATEGY
One of the most important issues faced by banks and financial institutions is the issue of credit risk. The significant amount of deferred bank claims around the world indicates the importance of this issue and the need to pay attention to it. So far, many efforts have been made to provide an effect... ادامه
سال:2020
کلیدواژه: Artificial Flora Alghorithm,Prediction,Dez Basin,Support Vector Machine
نویسندگان: DEHGHANI R., TORABI POUDEH H., YOUNESI H., SHAHINEJAD B.
ناشر: تحقیقات منابع آب ایران - Iran-Water Resources Research (IWRR)
In this study, the hybrid support vector machine-artificial flora algorithm method was developed and the results were compared with those of the support vector machine-wavelet model. The case study of Dez catchment area was used in order to estimate the flow rate of the rivers employing the daily di... ادامه
کلیدواژه: Groundwater levels,Gamma Test,Artificial neural network,SVR,Genetic Algorithm
نویسندگان: mirarabi ali, Naseri Hamidreza, NAKHAEI MOHAMMAD, Alijani Farshad
ناشر: زمین شناسی کاربردی پیشرفته - ADVANCED APPLIED GEOLOGY
In order to implement sustainable Groundwater resources management, it is necessary to model the behavior of Groundwater level. Groundwater is a nonlinear and complex system which Data-driven models can be modeled this system without approximation and simplification. This study evaluates the perform... ادامه
سال:2018
کلیدواژه: Bayesian Network,Support Vector Machine,Wavelet,Karkhe Basin
نویسندگان: DEHGHANI REZA, Torabi Poodeh Hasan, YOUNESI HOJJATOLLAH, Shahinejad Babak
Introduction: River flow forecasting is one of the most important issues in water resources management and planning, especially in making the right decisions in the event of floods and droughts. Various approaches to hydrology have been introduced to predict river flow rates, among which, intelligen... ادامه
کلیدواژه: Fractured Network Modeling,Multivariate Optimization Algorithms Particle Swarm Optimization,Gravitational Search Algorithm
نویسندگان: SHAKIBA Sima, DOULATI ARDEJANI FARAMARZ
ناشر: پژوهش نفت - PETROLEUM REsearch
Fractured network modeling is the main prerequisite for fluid flow simulation in many applications such as Groundwater resource management, oil and gas reservoir simulation, geothermal energy resource modeling and etc. The aim of this study is to develop an iterative object-based algorithm for fract... ادامه
سال:2023
کلیدواژه: Dissolved Oxygen, Support vector regression, Karun, Modeling
نویسندگان: Babaali Hamidreza, Nohani Ebrahim, Dehghani Reza
ناشر: هیدروفیزیک - HYDROPHYSICS
Oxygen plays a vital role in maintaining the balance of life cycles in all ecosystems. Aquatic life is highly sensitive to dissolved oxygen (DO) levels. This necessitates not only continuous monitoring of DO in aquatic environments but also the development of accurate predictive models for future DO... ادامه
سال:2024
کلیدواژه: Kashkan, Support vector regression, suspended sediments, Modeling
Providing a robust and reliable predictive model for river sediment discharge is an essential task for several environmental and geomorphological perspectives, including water quality, riverbed engineering sustainability, and aquatic habitats. In this research, a new hybrid intelligent approach base... ادامه
کلیدواژه: Genetic Algorithms,Harmony Search,Artificial Neural Networks
نویسندگان: DAVALLOU MARYAM, Heidari Toktam
ناشر: اقتصاد مقداری - Journal of Quantitative Economics
This paper is aimed to compare stock index forecasting using hybrid models based on Genetic algorithm (GA) and Harmonic search (HS) with Artificial Neural Network (ANN). The most relevant technical indicators as inputs and the optimal number of neurons in hidden layer of Artificial Neural Network de... ادامه
کلیدواژه: Dust,Cla,Organic Matter,MLP,Perceptron
نویسندگان: Ebrahimi Shahin, MOHAMMADI TORKASHVAND ALI, ESFANDIARI MEHRDAD, AHMADI ABBAS
ناشر: حفاظت منابع آب و خاک - JOURNAL OF WATER AND SOIL RESOURCES CONSERVATION
Background and Aim: Wind erosion has occurred in a large part of Iran, which has caused land degradation and reduced fertility along with environmental effects. Identifying erosion-sensitive areas can help natural resource and environmental managers in soil conservation planning. Methods: This study... ادامه
سال:2022
بعدی
دسته بندی