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An overview of emotion in artificial intelligence
G Assunção, B Patrão… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The field of artificial intelligence (AI) has gained immense traction over the past decade,
producing increasingly successful applications as research strives to understand and exploit …
producing increasingly successful applications as research strives to understand and exploit …
Practical emotional neural networks
In this paper, we propose a limbic-based artificial emotional neural network (LiAENN) for a
pattern recognition problem. LiAENN is a novel computational neural model of the emotional …
pattern recognition problem. LiAENN is a novel computational neural model of the emotional …
Speech emotion recognition based on an improved brain emotion learning model
ZT Liu, Q **e, M Wu, WH Cao, Y Mei, JW Mao - Neurocomputing, 2018 - Elsevier
Human-robot emotional interaction has developed rapidly in recent years, in which speech
emotion recognition plays a significant role. In this paper, a speech emotion recognition …
emotion recognition plays a significant role. In this paper, a speech emotion recognition …
Integrating feature extraction approaches with hybrid emotional neural networks for water quality index modeling
The establishment of water quality prediction models is vital for aquatic ecosystems analysis.
The traditional methods of water quality index (WQI) analysis are time-consuming and …
The traditional methods of water quality index (WQI) analysis are time-consuming and …
A novel approach for coronary artery disease diagnosis using hybrid particle swarm optimization based emotional neural network
Coronary artery disease (CAD) can cause serious conditions such as severe heart attack,
heart failure, and angina in patients with cardiovascular problems. These conditions may be …
heart failure, and angina in patients with cardiovascular problems. These conditions may be …
Memristive circuit implementation of context-dependent emotional learning network and its application in multitask
C Xu, C Wang, J Jiang, J Sun… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Emotional intelligence plays an important role in artificial intelligence. The brain circuitry of
emotion mainly includes the prefrontal cortex, the amygdala, hippocampus and et al. Many …
emotion mainly includes the prefrontal cortex, the amygdala, hippocampus and et al. Many …
Implementing brain-like fear generalization and emotional arousal associated with memory
M Guo, D Zhang, W Guo, G Dou… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Emotion plays an important role in human life. In recent years, memristor-based emotion
circuits have been proposed extensively, but few circuits simulate the neural circuity that …
circuits have been proposed extensively, but few circuits simulate the neural circuity that …
Self-evolving type-2 fuzzy brain emotional learning control design for chaotic systems using PSO
This work presents a design of interval type-2 fuzzy brain emotional learning control
(T2FBELC) combining with the self-evolving algorithm to help the network to automatically …
(T2FBELC) combining with the self-evolving algorithm to help the network to automatically …
Speech emotion recognition based on a modified brain emotional learning model
This paper introduces an optimized model of brain emotional learning (BEL) that merges the
Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multilayer Perceptron (MLP) for …
Adaptive Neuro-Fuzzy Inference System (ANFIS) and Multilayer Perceptron (MLP) for …
[HTML][HTML] Minimum energy control of quadrotor UAV: Synthesis and performance analysis of control system with neurobiologically inspired intelligent controller (BELBIC …
W Giernacki - Energies, 2022 - mdpi.com
There is a strong trend in the development of control systems for multi-rotor unmanned aerial
vehicles (UAVs), where minimization of a control signal effort is conducted to extend the …
vehicles (UAVs), where minimization of a control signal effort is conducted to extend the …