نتایج جستجو برای: anfis ga
تعداد نتایج: 38900 فیلتر نتایج به سال:
<p class="Abstract">Abstrak: Data deret waktu adalah serangkaian pengamatan yang diambil secara berurutan dari ke waktu. Salah satu kegunaan data <em>time series</em> untuk <em>forecasting</em>, yaitu memprediksi kemungkinan akan terjadi di masa datang berdasarkan lalu. metode dapat digunakan series forecasting</em> <em>Adaptive Neuro Fuzzy Inference Sy...
Landslide susceptibility mapping (LSM) is essential for land-use planning, as it helps to identify areas at risk of landslides and enables effective prevention measures be taken. Various statistical machine learning (ML) models are used in LSM, including SVM ANFIS, which have shown promising results. However, determining model performs better remains a key challenge. To address this issue, pape...
In the last two decades efficient traffic-flow prediction of vehicles has been significant in curbing traffic congestions at freeways and road intersections it is among many advantages applying intelligent transportation systems intersections. However, researchers have not focused on vehicular flow using hybrid algorithms such as adaptive neuro-fuzzy inference optimized by genetic algorithms. t...
Fuzzy Neural Networks (FNNs) techniques have been effectively used in applications that range from medical to mechanical engineering, to business and economics. Despite of attracting researchers in recent years and outperforming other fuzzy systems, Adaptive Neuro-Fuzzy Inference System (ANFIS) still needs effective parameter training and rulebase optimization methods to perform efficiently whe...
Mine Blast Algorithm (MBA) is newly developed metaheuristic technique. It has outperformed Genetic Algorithm (GA), Particle Swarm Optimization (PSO) and their variants when solving various engineering optimization problems. MBA has been improved by IMBA, which is modified in this paper to accelerate its convergence speed furthermore. The proposed variant, so called Accelerated MBA (AMBA), repla...
The prediction of groundwater quality is very important for the management of water resources and environmental activities. The present study has integrated a number of methods such as Geographic Information Systems (GIS) and Artificial Intelligence (AI) methodologies to predict groundwater quality in Kerman plain (including HCO3-, concentrations and Electrical Conductivity (EC) of groundwater)...
labyrinth spillway is an appropriate option to pass pmf discharge. the most advantages of this type of spillway are higher discharge capacity, easy aeration as well as low fluctuations of flow surface. it is essential to find the optimum geometry considering the maximum passing discharge under specific hydraulic conditions with minimum construction cost. in this study, fuzzy inference system (f...
In the past few decades, both academicians and industries have shown interest toward agricultural post-harvest operation aiming to reduce losses. order assist farmers in decision-making some effective innovative methodological frameworks are required. The fruit weight measurement is of prime importance many food processing during sorting, grading, packaging. this work, different Support vector ...
Accurate prediction of pore water pressure in the body of earth dams during construction with accurate methods is one of the most important components in managing the stability of earth dams. The main objective of this research is to develop hybrid models based on fuzzy neural inference systems and meta-heuristic optimization algorithms. In this regard, the fuzzy neural inference system and opt...
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