摘要针对多元非线性时间序列, 结合回声状态网络和Kalman 滤波提出一种新的在线自适应预报
方法. 该方法将Kalman 滤波应用于回声状态网络储备池高维状态空间中 …

Tourism has become a major sector for economic development on Lombok. Tourist
expenditure in Lombok give a good implications on public revenue. Tourist expenditures are …

Abstract Feedforward Neural Networks training for classification problem is considered. The
Extended Kalman Filter, which has been earlier used mostly for training Recurrent Neural …

В процессе создания и эксплуатации летательных аппаратов различных видов
значительное место занимает решение таких классов задач, как анализ поведения …

Recurrent neural networks are often employed in the cognitive science community to
process symbol sequences that represent various natural language structures. The aim is to …

Electricity spot prices are complex processes characterized by nonlinearity and extreme
volatility. Previous work on nonlinear modeling of electricity spot prices has shown …

The ensemble Kalman filter is a contemporary data assimilation algorithm used in the
geoscience community. The filters popularity most likely stems from its simplicity, its low …

Recurrent neural networks are popular tools used for modeling time series. Common
gradient-based algorithms are frequently used for training recurrent neural networks. On the …

Abstract Artificial Neural Networks (ANN) especially Recurrent Neural Network (RNN) have
been widely used to predict currency exchange rates. The learning algorithm that is …

Gamelan is one of Indonesia's traditional musical instruments. Signal variations in gamelan
music are caused by differences in play style and the process of making gamelan. Gamelan …