An adaptive neuro-fuzzy inference system for makespan estimation of flexible manufacturing system assembly shop: a case study

The paper presents a Neuro-fuzzy study of Flexible Manufacturing System subject to different design and control strategies. Adaptive Neuro-Fuzzy inference system (ANFIS) techniques have been used to evaluate the performance. The objective of our work is to evaluating the performances of system in terms of Make Span Time at different levels of Routing and Machine flexibilities.

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A Hybrid Approach Based on the Combination of Adaptive Neuro-Fuzzy Inference System and Imperialist Competitive Algorithm: Oil Flow Rate of the Wells Prediction Case Study

International Journal of Computational Intelligence Systems ◽

10.1080/18756891.2013.768430 ◽

2013 ◽

Vol 6 (2) ◽

pp. 198-208 ◽

Cited By ~ 7

Author(s):

Shahram Mollaiy Berneti

Keyword(s):

Flow Rate ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Hybrid Approach ◽

Imperialist Competitive Algorithm ◽

Inference System ◽

Competitive Algorithm ◽

Neuro Fuzzy ◽

Oil Flow

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Estimation of solar radiation per month on horizontal surface using adaptive neuro-fuzzy inference system (case study in Surabaya)

10.1063/1.5095323 ◽

2019 ◽

Cited By ~ 1

Author(s):

Jauharotul Maknunah ◽

Imam Abadi ◽

Isnan Abdurrahman ◽

Chairul Imron

Keyword(s):

Solar Radiation ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Horizontal Surface ◽

Inference System ◽

Neuro Fuzzy

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Evaluation and forecasting of solar radiation using time series adaptive neuro‐fuzzy inference system: Seoul city as a case study

IET Renewable Power Generation ◽

10.1049/iet-rpg.2018.5709 ◽

2019 ◽

Vol 13 (10) ◽

pp. 1711-1723 ◽

Cited By ~ 3

Author(s):

Mohammed H. Alsharif ◽

Mohammad K. Younes

Keyword(s):

Time Series ◽

Solar Radiation ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Inference System ◽

Neuro Fuzzy

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Relationship between groundwater quality and distance to fault using adaptive neuro fuzzy inference system (ANFIS) and geostatistical methods (case study: North of Fars Province)

Spatial Information Research ◽

10.1007/s41324-019-00253-5 ◽

2019 ◽

Vol 27 (5) ◽

pp. 529-538

Author(s):

Maryam Aghajari ◽

Maleeha Mozayyan ◽

Marzieh Mokarram ◽

Alireza Amirian Chekan

Keyword(s):

Groundwater Quality ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Fars Province ◽

Inference System ◽

Geostatistical Methods ◽

Neuro Fuzzy

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Viability of the advanced adaptive neuro-fuzzy inference system model on reservoir evaporation process simulation: case study of Nasser Lake in Egypt

Engineering Applications of Computational Fluid Mechanics ◽

10.1080/19942060.2019.1647879 ◽

2019 ◽

Vol 13 (1) ◽

pp. 878-891 ◽

Cited By ~ 14

Author(s):

Sinan Q. Salih ◽

Mohammed Falah Allawi ◽

Ali A. Yousif ◽

Asaad M. Armanuos ◽

Mandeep Kaur Saggi ◽

...

Keyword(s):

Process Simulation ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

System Model ◽

Evaporation Process ◽

Inference System ◽

Neuro Fuzzy ◽

Nasser Lake

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Adaptive Neuro-Fuzzy Inference System in Agriculture

Advances in Environmental Engineering and Green Technologies - Fuzzy Expert Systems and Applications in Agricultural Diagnosis ◽

10.4018/978-1-5225-9175-7.ch008 ◽

2020 ◽

pp. 130-153

Author(s):

K. Aditya Shastry ◽

Sanjay H. A.

Keyword(s):

Crop Yield ◽

Fuzzy Inference System ◽

Fuzzy Inference ◽

Yield Prediction ◽

Inference System ◽

Fourth Section ◽

The Third ◽

Neuro Fuzzy ◽

Basic Concepts

This chapter emphasizes the use of adaptive fuzzy inference system (ANFIS) in agriculture. An overview of the basic concepts of ANFIS is provided at the beginning, where the underlying architecture of ANFIS is also discussed. The introduction is followed by the second section which highlights the diverse applications of ANFIS in agriculture during recent times. The third section describes how Matlab software can be utilized to build the ANFIS model. The fourth section describes the case study of the application of ANFIS for crop yield prediction. The conclusion follows this case study.

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