Retraction Note to: Adaptive neuro-fuzzy selection of the optimal parameters of protective spur dike
نویسندگان
چکیده
منابع مشابه
Optimization of the Geometric Parameters of the Protective Spur Dike using Taguchi Method and GRA.
In general, engineering designs need to optimize the factors affecting the under-study phenomenon; however, this is often a costly and time-consuming process. In this regard, new methods have been developed to optimize with fewer tests; thus, they can make the whole process more affordable. In this study, Taguchi and Taguchi-GRA methods were used to design the geometric parameters of the protec...
متن کاملHybrid ANFIS-PSO approach for predicting optimum parameters of a protective spur dike
In this study a new approach was proposed to determine optimum parameters of a protective spur dike to mitigate scouring depth amount around existing main spur dikes. The studied parameters were angle of the protective spur dike relative to the flume wall, its length, and its distance from the main spur dikes, flow intensity, and the diameters of the sediment particles that were explored to fin...
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abstract nowadays, the science of decision making has been paid to more attention due to the complexity of the problems of suppliers selection. as known, one of the efficient tools in economic and human resources development is the extension of communication networks in developing countries. so, the proper selection of suppliers of tc equipments is of concern very much. in this study, a ...
15 صفحه اولEvaluating the Effect of Various Parameters of Protective Spur Dike on Scour Depth Reduction using Group Method of Data Handling (GMDH) and Gene Expression Programming (GEP)
Spur dikes are one of the common methods to protect rivers against erosion. Scouring around the spur dike is an important factor that can disorder the structural performance. Using protective spur dike is proper technique reduce the scour amount. In this research, the GMDH and GEP model used in order to evaluate and estimate the effect of various parameters of protective spur dike o...
متن کاملImplementation of Adaptive Neuro-Fuzzy Inference System (Anfis) for Performance Prediction of Fuel Cell Parameters
Fuel cells are potential candidates for storing energy in many applications; however, their implementation is limited due to poor efficiency and high initial and operating costs. The purpose of this research is to find the most influential fuel cell parameters by applying the adaptive neuro-fuzzy inference system (ANFIS). The ANFIS method is implemented to select highly influential parame...
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ژورنال
عنوان ژورنال: Natural Hazards
سال: 2020
ISSN: 0921-030X,1573-0840
DOI: 10.1007/s11069-020-03923-y