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Rolling force prediction in cold rolling process based on combined method of T-S fuzzy neural network and analytical model
In the cold rolling process, inaccurate rolling force settings and the resulting strip thickness fluctuations and other quality problems occur,...
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An integrated simplicial neural network with neuro-fuzzy network for graph embedding
In recent years, graph neural network (GNN) has become the main stream for most of recent researches due to its powers in dealing with complex graph...
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Fuzzy Neural Network
Fuzzy neural network combines fuzzy computing and artificial neural network. Fuzzy neural network inherits the characteristics of both fuzzy logic... -
Optimizing teaching management in college physical education: a fuzzy neural network approach
Improving the quality of education through effective teaching evaluation is crucial. A scientific and rational assessment system for physical...
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Fuzzy Neural Network Model for Intelligent Course Development in Music and Dance Education
Interactions are mandatory for online or offline music and dance education to improve understandability and learning efficacy. The course designed...
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Parameters optimization and precision enhancement of Takagi–Sugeno fuzzy neural network
Takagi–Sugeno fuzzy neural network (TSFNN) has been widely used in intelligent prediction. The prediction accuracy of TSFNN is impacted by its model...
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Wearable Sensors-Based Human Activity Recognition with Deep Convolutional Neural Network and Fuzzy Classification
The elderly and disabled often live without direct supervision and rely on remote monitoring for their care. However, current methods for information...
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Performance evaluation of state-owned enterprises based on fuzzy neural network combination model
Fuzzy neural networks have seen an increasing presence in state-owned enterprise performance evaluation. Fuzzy-based financial and non-financial...
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GAN-FuzzyNN: Optimization Based Generative Adversarial Network and Fuzzy Neural Network Classification for Change Detection in Satellite Images
Nowadays, change detection with satellite images plays an essential role in urban planning, resources survey, and understanding global environmental...
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Indirect adaptive observer control (I-AOC) design for truck–trailer model based on T–S fuzzy system with unknown nonlinear function
Tracking is a crucial problem for nonlinear systems as it ensures stability and enables the system to accurately follow a desired reference signal....
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Adaptive fuzzy neural network-based finite time prescribed performance control for uncertain robotic systems with actuator saturation
This paper investigates an adaptive fuzzy controller prescribed performance for uncertain robot systems with actuator saturation. To mitigate the...
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A Fuzzy Neural Network Classifier and Its Dual Network for Adaptive Learning of Structure and Parameters
A novel Fuzzy Neural Network Classifier (FNNC) with high classification accuracy is proposed in this paper. To alleviate rule explosion, the adaptive...
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Human emotion recognition based on brain signal analysis using fuzzy neural network
An important method in the “human–computer interface” (HCI) is emotion recognition. Conventional emotion detection algorithms rely on exterior...
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Bird species recognition using spiking neural network along with distance based fuzzy co-clustering
This paper has emphasized several sounds for Bird Species Recognition based on their vocalization. Although various techniques have been designed...
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Exponential stabilization of aero-engine T-S fuzzy system with decentralized dynamic event-triggered mechanism
This paper proposes a decentralized dynamic event-triggered control method of aero-engine T-S fuzzy system, aiming to achieve both exponential...
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Soft Sensor Modeling of Self-Organizing Interval Type-2 Fuzzy Neural Network Based on Adaptive Quantum-Behaved Particle Swarm Optimization Algorithm
In this study, a self-organizing interval type-2 fuzzy neural network (SOIT2FNN) based on the Adaptive Quantum-behaved Particle Swarm Optimization...
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Feature data-driven-reinforced fuzzy radial basis function neural network classifier with the aid of preprocessing techniques and particle swarm optimization
In this study, reinforced fuzzy radial basis function neural networks (FRBFNN) classifier driven by feature extracted data completed with the aid of...
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Event-triggered model-free adaptive control for nonlinear systems using intuitionistic fuzzy neural network: simulation and experimental validation
This article presents model-free adaptive control based on an intuitionistic fuzzy neural network for nonlinear systems with event-triggered output....
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Fuzzy Adaptive Compensation Control for Space Manipulator with Joint Flexibility and Dead Zone Based on Neural Network
Considering the problems of dead zone and flexibility in the joint transmission mechanism of space manipulator, a fuzzy compensation control method...
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Event-triggered-based self-organizing fuzzy neural network control for the municipal solid waste incineration process
Due to the large uncertainty in the municipal solid waste incineration (MSWI) process, the furnace temperature of the MSWI process is difficult to...