Results 21 to 30 of about 55,481 (267)
IEEE Access, 2020 An enhanced hybrid artificial intelligence model was developed for soil temperature (ST) prediction. Among several soil characteristics, soil temperature is one of the essential elements impacting the biological, physical and chemical processes of the ...
Liu Penghui +8 more
doaj +1 more source
Ain Shams Engineering Journal, 2023 Cation exchange capacity (CEC) has a key role in soil studies such as agriculture, energy balance, characteristics of the soil for food, maintaining water in the soil as well as soil pollution management.
Samad Emamgholizadeh +4 more
doaj +1 more source
PD Pattern Recognition Using ANFIS [PDF]
2008 Annual Report Conference on Electrical Insulation and Dielectric Phenomena, 2008 An application of an adaptive neuro-fuzzy inference system (ANFIS) has been investigated for partial discharge (PD) pattern recognition. The proposed classifier was used to discriminate between PD patterns occurring in internal voids. Three different void shapes were considered in this work, namely flat, square and narrow.
Nikola Chalashkanov +3 more
openaire +2 more sources
Evaluation of ANFIS and ANFIS-PSO Models for Estimating Hydraulic Jump Characteristics
علوم آب و خاک, 2022 In this study accuracy of the ANFIS and ANFIS-PSO models to estimate hydraulic jump characteristics including sequence depth ratio, the jump length, the roller length ratio, and relative energy loss was evaluated in stilling basin versus laboratory results.
N. Pourabdollah +3 more
openaire +3 more sources
Predicting Australia’s Domestic Airline Passenger Demand using an Anfis Approach
Transport and Telecommunication, 2022 The forecasting of future airline passenger demand is critical task for airline management. The objective of the present study was to develop an adaptive neuro-fuzzy inference system (ANFIS) for predicting Australia’s domestic airline passenger demand ...
Srisaeng Panarat, Baxter Glenn
doaj +1 more source
IEEE Access, 2021 Wind speed fluctuations and load demand variations represent the big challenges against wind energy conversion systems (WECS). Besides, the inefficient measuring devices and the environmental impacts (e.g. temperature, humidity, and noise signals) affect
M. Elsisi +4 more
semanticscholar +1 more source
Heliyon, 2023 The Adaptive Neuro-Fuzzy Inference System (ANFIS) combines the strengths of both Artificial Neural Networks (ANNs) and Fuzzy Logic (FL) into a single framework.
Naghmeh Jafarzade +6 more
doaj +1 more source
Modelling of a Flexible Manoeuvring System Using ANFIS Techniques [PDF]
, 2010 The increased utilization of flexible structure systems, such as flexible manipulators and flexible aircraft in various applications, has been motivated by the requirements of industrial automation in recent years.
Bin Zaidan, Martha Arbayani +2 more
core +1 more source
IEEE Systems Journal, 2020 To enhance the photovoltaic (PV) power-generation conversion, maximum power point tracking (MPPT) is the foremost constituent. This article introduces an adaptive neuro-fuzzy inference system–particle swarm optimization (ANFIS–PSO)-based hybrid MPPT ...
Neeraj Priyadarshi +4 more
semanticscholar +1 more source
Applied Water Science, 2019 In natural rivers and artificial channels in addition to the channel dimensions (widening, reduction in slope and depth in the channel banks), formed shape profile in the case that the sediment on the banks with no movement (thresholds state) is of ...
Azadeh Gholami +5 more
doaj +1 more source