Hourly River Flow Forecasting: Application of Emotional Neural Network Versus Multiple Machine Learning Paradigms
Sign Up to like & getrecommendations! Published in 2020 at "Water Resources Management"
DOI: 10.1007/s11269-020-02484-w
Abstract: Monitoring hourly river flows is indispensable for flood forecasting and disaster risk management. The objective of the present study is to develop a suite of hourly river flow forecasting models for the Albert river, located… read more here.
Keywords: hourly river; machine learning; river flow; flow forecasting ... See more keywords
Determination of compressive strength using relevance vector machine and emotional neural network
Sign Up to like & getrecommendations! Published in 2019 at "Asian Journal of Civil Engineering"
DOI: 10.1007/s42107-019-00171-9
Abstract: Compressive strength is an important and pertinent property for the characterization of concrete. It is known that compressive strength of hardened concrete depends on the efficiency factor (K) of silica fume and its percentage replacement… read more here.
Keywords: compressive strength; relevance vector; neural network; vector machine ... See more keywords
A Dopamine Based Adaptive Emotional Neural Network
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3212403
Abstract: Due to the inevitable role of emotions in human learning and decision-making, different types of emotions in the form of emotional weights/neurons have also been considered in shallow neural networks. Emotional neural networks suffer from… read more here.
Keywords: neural network; dopamine based; based adaptive; emotional neural ... See more keywords
Intelligent Terminal Sliding Mode Control of Active Power Filters by Self-Evolving Emotional Neural Network
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2022.3168654
Abstract: In this article, a control system based on evolutionary emotional neural network is proposed for active power filters (APFs) to improve power quality. First, the dynamic model of the APF containing external disturbances and component… read more here.
Keywords: neural network; control; emotional neural; active power ... See more keywords
Estimating Slump Flow and Compressive Strength of Self-Compacting Concrete Using Emotional Neural Networks
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DOI: 10.3390/app10238543
Abstract: The characteristics of fresh and hardened self-compacting concrete (SCC) are an essential requirement for construction projects. Moreover, the sensitivity of admixture contents of SCC in these properties is highly impacted by that cost. The current… read more here.
Keywords: slump flow; compacting concrete; flow compressive; compressive strength ... See more keywords
EEG-Based Identification of Emotional Neural State Evoked by Virtual Environment Interaction
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Environmental Research and Public Health"
DOI: 10.3390/ijerph19042158
Abstract: Classifying emotional states is critical for brain–computer interfaces and psychology-related domains. In previous studies, researchers have tried to identify emotions using neural data such as electroencephalography (EEG) signals or brain functional magnetic resonance imaging (fMRI).… read more here.
Keywords: state; emotional neural; machine learning; eeg ... See more keywords