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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...
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Data Driven Fuzzy Modelling with Neural Networks
Extraction of models for complex systems from numerical data of behavior is studied. In particular, systems representable as sets of fuzzy if-then...
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Explaining the Artificial Neural Network Using Evolutionary Fuzzy Association Rule Mining (EFARM)
The Artificial Neural Network (ANN) is a widely used machine learning technique for various classification problems. However, despite its popularity,...
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Artificial Neural Network Based Type-2 Fuzzy Optimization for Medical Diagnosis
In this work, we generalized the notion of fuzzy logic and neural network in order to develop type-2 neuro fuzzy system. With the help of proposed...
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Construction of Measurement Model for Ultimate Carrying Capacity of Medium Voltage Distribution Network Based on Genetic Neural Network
In order to avoid the overload fault of distribution network and ensure the safety and stability of power supply of distribution network, a measuring...
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Interpretation of seizure dynamics using fuzzy-based neural computational modelling
The epileptic seizures result due to the nonlinear dynamic asynchronization of the brain waves. The temporal dynamics of the brain waves are usually...
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A new approach to investigate the effects of artificial neural networks based on bipolar complex spherical fuzzy information
Artificial neural network is revolutionizing business and everyday life, bringing us to the next level in artificial intelligence. It has a unique...
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Global Exponential Stability and Synchronization of Discrete-Time Fuzzy Bidirectional Associative Memory Neural Networks via Mittag-Leffler Difference Approach
In recent years, exponential Euler difference methods have been widely used to discuss the neural network models depicted by integer order...
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Multivariate Fuzzy-Random and Stochastic Various Activation Functions Activated Neural Network Approximations
In this chapter we study the degree of approximation of multivariate pointwise and uniform convergences in the q-mean to the Fuzzy-Random unit...
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Adaptive Neural Network Control of Heavy Vehicle Air Suspension with Uncertainties
PurposeOwing to the rapid development of the automotive industry today, the performance requirements of automobiles are continually escalating, with...
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Fuzzy matrix game: A fast approach using artificial hybrid neural-net logic-gate switching circuit
Introducing neuro-fuzzy concept in decision-making problems, makes a new way in artificial intelligence and expert systems. Sometimes, neural...
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Neural and Granular Fuzzy Adaptive Modeling
The chapter addresses adaptive nonlinear systems modeling focusing on the uninorm-based evolving neuro-fuzzy network and the granular evolving...
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New deep recurrent hybrid artificial neural network for forecasting seasonal time series
The simple recurrent artificial neural network is a deep artificial neural network frequently used in the literature for solving forecasting...
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Adaptation of Fuzzy Inference System Using Neural Learning
The integration of neural networks and fuzzy inference systems could be formulated into three main categories: cooperative, concurrent and integrated...
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A new statistical training algorithm for a single multiplicative neuron model artificial neural network
The single multiplicative neuron model has been frequently used by researchers in recent years, as it does not have a complex structure and does not...
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Adaptive event-triggered exponential convergence tolerant control for fuzzy communication delay network systems with actuator faults, deception attacks and disturbances
This article designs an exponential convergence tolerant control protocol to solve the stability problem of discrete fuzzy network systems with...
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Multivariate Fuzzy-Random and Stochastic General Sigmoid Activation Function Generated Neural Network Approximations
In this chapter we research the degree of approximation of multivariate pointwise and uniform convergences in the q-mean to the Fuzzy-Random unit...
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Bootstrapped Dendritic Neuron Model Artificial Neural Network for Forecasting
The dendritic neuron model artificial neural network, in which the dendrites in the biological neuron are added to the artificial neural network...
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Observer-Based Finite-Time Event-Triggered Control for Stochastic T-S Fuzzy Nonlinear Systems with Time-Varying Delay
This paper concentrates on the issues of input–output finite-time stability (IO-FTS) and finite-time boundedness (FTB) for stochastic Takagi–Sugeno...
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Fuzzy-ChOA: an improved chimp optimization algorithm for marine mammal classification using artificial neural network
Chimp optimization algorithm (ChOA) is a robust nature-inspired technique, which was recently proposed for addressing real-world challenging...
