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What is ANFIS

Handbook of Research on Recent Developments in Materials Science and Corrosion Engineering Education
A kind of artificial intelligence which integrates both neural networks and fuzzy logic principles.
Published in Chapter:
Artificial Intelligence Methods and Their Applications in Civil Engineering
Gonzalo Martínez-Barrera (Universidad Autónoma del Estado de México, Mexico), Osman Gencel (Bartin University, Turkey), Ahmet Beycioglu (Düzce University, Turkey), Serkan Subaşı (Düzce University, Turkey), and Nelly González-Rivas (Joint Center for Research in Sustainable Chemistry (CCIQS), Mexico)
DOI: 10.4018/978-1-4666-8183-5.ch009
Abstract
Simulation of material properties generally involves the development of a mathematical model derived from experimental data. In structural mechanics and construction materials contexts, recent experiments have reported that fuzzy logic (FL), artificial neural networks (ANNs), genetic algorithm (GA), and fuzzy genetic (FG) may offer a promising alternative. They are known as artificial intelligence (AI). In civil engineering, AI methods have been extensively used in the fields of civil engineering applications such as construction management, building materials, hydraulic, optimization, geotechnical and transportation engineering. Many studies have examined the applicability of AI methods to estimate concrete properties. This chapter described the principles of FL methods that can be taught to engineering students through MATLAB graphical user interface carried out in a postgraduate course on Applications of Artificial Intelligence in Engineering, discussed the application of Mamdani type in concrete technology and highlighted key studies related to the usability of FL in concrete technology.
Full Text Chapter Download: US $37.50 Add to Cart
More Results
Adaptive Network Based Fuzzy Interference System (ANFIS) Modeling of an Anaerobic Wastewater Treatment Process
Artificial Network Based Fuzzy Inference Systems (ANFIS) are a class of adaptive networks that are functionally equivalent to fuzzy inference systems.
Full Text Chapter Download: US $37.50 Add to Cart
Full Text Chapter Download: US $37.50 Add to Cart
Full Text Chapter Download: US $37.50 Add to Cart
Prediction of Capacity Utilization Rate for Turkey Using Adaptive Neuro-Fuzzy Inference System With Particle Swarm Optimization and Genetic Algorithm
The adaptive neuro-fuzzy inference system is a hybrid artificial intelligence technique developed by integrating the learning capability of artificial neural networks and the best features of fuzzy inference systems.
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