Modelling a combined method based on ANFIS and neural network improved by DE algorithm: A case study for short-term electricity demand forecasting
Y Yang, Y Chen, Y Wang, C Li, L Li - Applied Soft Computing, 2016 - Elsevier
Electricity demand forecasting, as a vital tool in the electricity market, plays a critical role in
power utilities, which can not only reduce production costs but also save energy resources …
power utilities, which can not only reduce production costs but also save energy resources …
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 …
From emotion AI to cognitive AI
Cognitive computing is recognized as the next era of computing. In order to make hardware
and software systems more human-like, emotion artificial intelligence (AI) and cognitive AI …
and software systems more human-like, emotion artificial intelligence (AI) and cognitive AI …
Levels of explainable artificial intelligence for human-aligned conversational explanations
Over the last few years there has been rapid research growth into eXplainable Artificial
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
Intelligence (XAI) and the closely aligned Interpretable Machine Learning (IML). Drivers for …
Optimal design and feature selection by genetic algorithm for emotional artificial neural network (EANN) in rainfall-runoff modeling
Rainfall-runoff (rr) modeling at different time scales is considered as a significant issue in
hydro-environmental planning. As a first hydrological implementation, for one-time-ahead rr …
hydro-environmental planning. As a first hydrological implementation, for one-time-ahead rr …
Investigation and improvement of multi-layer perceptron neural networks for credit scoring
Abstract Multi-Layer Perceptron (MLP) neural networks are widely used in automatic credit
scoring systems with high accuracy and efficiency. This paper presents a higher accuracy …
scoring systems with high accuracy and efficiency. This paper presents a higher accuracy …
The age of artificial emotional intelligence
D Schuller, BW Schuller - Computer, 2018 - ieeexplore.ieee.org
Science fiction often portrays future AI technology as having sophisticated emotional
intelligence skills to the degree where technology can develop compassion. But where are …
intelligence skills to the degree where technology can develop compassion. But where are …
An emotional ANN (EANN) approach to modeling rainfall-runoff process
V Nourani - Journal of Hydrology, 2017 - Elsevier
This paper presents the first hydrological implementation of Emotional Artificial Neural
Network (EANN), as a new generation of Artificial Intelligence-based models for daily rainfall …
Network (EANN), as a new generation of Artificial Intelligence-based models for daily rainfall …
Compressive strength of self-compacting concrete modified with rice husk ash and calcium carbide waste modeling: a feasibility of emerging emotional intelligent …
In the present research, the information on compressive strength of self-compacting concrete
(SCC) containing rice husk ash (RHA) and calcium carbide waste (CCW) as an admixture …
(SCC) containing rice husk ash (RHA) and calcium carbide waste (CCW) as an admixture …
An emotional artificial neural network for prediction of vehicular traffic noise
Road traffic is a leading source of environmental noise pollution in large cities, which greatly
affects the health and well-being of people. A reliable method for the prediction of road traffic …
affects the health and well-being of people. A reliable method for the prediction of road traffic …