|
|
|
|
|
Guoliang Feng, Wei Lu and Jianhua Yang
A novel design method for time series modeling and prediction with fuzzy cognitive maps (FCM) is proposed in this paper. The developed model exploits the least square method to learn the weight matrix of FCM derived from the given historical data of time...
ver más
|
|
|
|
|
|
|
|
|
Ping Jiang and Ying Nie
Accurate and reliable power load forecasting not only takes an important place in management and steady running of smart grid, but also has environmental benefits and economic dividends. Accurate load point forecasting can provide a guarantee for the dai...
ver más
|
|
|
|
|
|
|
|
|
Jian Lv, Miaomiao Zhu, Weijie Pan and Xiang Liu
To create alternative complex patterns, a novel design method is introduced in this study based on the error back propagation (BP) neural network user cognitive surrogate model of an interactive genetic algorithm with individual fuzzy interval fitness (I...
ver más
|
|
|
|
|
|
|
|
|
Rania M. Ghoniem, Abeer D. Algarni and Khaled Shaalan
In multi-modal emotion aware frameworks, it is essential to estimate the emotional features then fuse them to different degrees. This basically follows either a feature-level or decision-level strategy. In all likelihood, while features from several moda...
ver más
|
|
|
|
|
|
|
|
|
Konstantinos I. Papageorgiou, Katarzyna Poczeta, Elpiniki Papageorgiou, Vassilis C. Gerogiannis and George Stamoulis
This paper introduced a new ensemble learning approach, based on evolutionary fuzzy cognitive maps (FCMs), artificial neural networks (ANNs), and their hybrid structure (FCM-ANN), for time series prediction. The main aim of time series forecasting is to ...
ver más
|
|
|
|