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Prediction of tensile strength in fused deposition modeling process using artificial neural network and fuzzy logic
Fused deposition modeling is a modern rapid prototy** technique that is used for swiftly replicating concept modeling, physical modeling, and...
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Secure and privacy in healthcare data using quaternion based neural network and encoder-elliptic curve deep neural network with blockchain on the cloud environment
The security and privacy of healthcare data are crucial aspects within the healthcare industry, as accurate diagnoses rely on medical professionals...
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Fuzzy-Neural Impedance Control for Robots
In conventional impedance control, the difficulties encountered in obtaining an exact system dynamic model and selecting its impedance parameters...
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Negative Stiffness Control of Quasi-Zero Stiffness Air Suspension via Data-Driven Approach with Adaptive Fuzzy Neural Network Method
To reduce effects of vibration of commercial vehicles during driving, this paper proposes a new semi-active quasi-zero stiffness air suspension to...
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Fuzzy Neural Network Control Strategy of Aggregated TCLs for Demand Response
In this chapter, in order to stabilize the frequency of the smart grid, a fuzzy neural network controller is designed to regulate the demand-side...
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Freight train speed active disturbance rejection tracking and wheel anti-slip based on fuzzy neural network with DBO optimization
In this paper, we present a proposed scheme for speed tracking control specifically designed for freight trains. This innovative speed tracking...
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Optimization strategy design and simulation of power plant boiler combustion system based on Internet of Things and fuzzy neural network in the context of sustainable development
The annual consumption of coal resources by the combustion process is significant, and the associated environmental degradation has gotten worse....
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Deep Neural-Fuzzy System Algorithms with Improved Interpretability for Classification Problems
The adaptive neuro-fuzzy inference system (ANFIS), an efficient soft computing approach, has both high interpretability and self-learning ability....
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Neural fuzzy system design in forest fire detection
Forest fire detection using neural networks, remote sensing, and Geographic information systems (GIS) is an effective approach to monitor and respond...
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A Novel Neuro-fuzzy Learning Algorithm for First-Order Takagi–Sugeno Fuzzy Model: Caputo Fractional-Order Gradient Descent Method
As an essential tool for processing fuzzy or chaotic information, the main feature of the first-order Takagi–Sugeno (T–S) neuro-fuzzy model is...
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Application of Varieties of Learning Rules in Intuitionistic Fuzzy Artificial Neural Network
In this work, the decision-making models based on Artificial Neural Network (ANN) are presented. These models accept argument pairs called weighted...
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Fuzzy dynamic parameter adaptation in the bird swarm algorithm for neural network optimization
Fuzzy dynamic parameter adaptation has proven to be of great help when it is implemented in bio-inspired algorithms for optimization in different...
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Mode Choice Behavior Modeling: A Synergy by Hybrid Neural Network and Fuzzy Logic System
Mode choice modeling is one of the crucial measurements in transportation policies as it helps in formulating city transport policies. Travel to...
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Univariate Fuzzy Fractional Various Sigmoid Function Activated Neural Network Approximations Revisited
Here we study the univariate fuzzy fractional quantitative approximation of fuzzy real valued functions on a compact interval by quasi-interpolation...
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An integrated fuzzy neural network with topic-aware auto-encoding for sentiment analysis
Recent advanced deep learning architectures, such as neural seq2seq and transformer, have demonstrated remarkable improvements in multi-typed...
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Multi UAV Trajectory Tracking Optimization Method Based on Fuzzy Graph Convolution Neural Network
Multi-UAV coordinated trajectory tracking is the most popular research problem at present. It is necessary to optimize and adjust the combined course...
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Speed control of electric vehicle by using type-2 fuzzy neural network
The forces of drag, tire and road surface friction resistance, the drive motor characteristics, the hill climbing angle, and other non-linear dynamic...
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Fuzzy Basic and Fractional General Sigmoid Function Generated Neural Network Approximation
Here we research the univariate fuzzy ordinary and fractional quantitative approximation of fuzzy real valued functions on a compact interval by...
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Fuzzy Adaptive Control Law for Trajectory Tracking Based on a Fuzzy Adaptive Neural PID Controller of a Multi-rotor Unmanned Aerial Vehicle
This article presents a fuzzy adaptive control law (FACL) designed for tracking the trajectory of a low-scale unmanned aerial vehicle (UAV), based on...