drought is random and nonlinear phenomenon and using linear stochastic models, nonlinear artificial neural network and hybrid models is advantaged for drought forecasting. this paper presents the performances of autoregressive integrated moving average (arima), direct multi-step neural network (dmsnn), recursive multi-step neural network (rmsnn), hybrid stochastic neural network of directive ap...

A signi cant source of di culty in language learning is the presumed \incompleteness" of the overt information available to a language learner, termed here an `overt form', when they hear an utterance. The complete structural description assigned to an utterance by linguistic analysis includes representational elements not directly apparent in the overt form, but which play a critical role in l...

A Space Free-Flying Robot (SFFR) includes an actuated base equipped with one or more manipulators to perform on-orbit missions. Distinct from fixed-based manipulators, the spacecraft (base) of a SFFR responds to dynamic reaction forces due to manipulator motions. In order to control such a system, it is essential to consider the dynamic coupling between the manipulators and the base. Explicit d...

research and developmentexpenditure (r&d;) in new literature plays an important role in economic growth. investment in r&d;, increases level of knowledge and enhanced knowledge, increase production efficiency and from efficiency channel economic growth improves. many studies have been done on the r&d; not used unit of data for this variable. this is due to a lack of labor and the level of inves...

In view of the characteristic that the traffic system is a dynamic and time-varying parameter system, the multi-level recursive forecasting method is proposed, and the multi-level recursive forecasting model of road accidents is established in this thesis. In this method, the forecasting of road accidents is divided into two parts: the forecasting of time-varying parameters and the future forec...

A vector matrix real time backpropagation algorithm for recurrent neural networks that approximate multi-valued periodic functions," Received Unlike feedforward neural networks (FFNN) which can act as universal function ap-proximators, recursive, or recurrent, neural networks can act as universal approximators for multi-valued functions. In this paper, a real time recursive backpropagation (RTR...

In the present article a Recursive Multi-Way PLS algorithm for adaptive calibration of a BCI system is proposed. It combines the NPLS tensors decomposition with a scheme of recursive calculation. This Recursive algorithm allows treating data arrays of huge dimension. In addition, adaptive calibration provides a fast adjustment of the BCI system to mild changes of the signal. The proposed algori...

A multi-interfaced node is connected to multiple networks, some of which might be utilizing private DNS namespaces. A node commonly receives recursive DNS server configuration information from all connected networks. Some of the recursive DNS servers might have information about namespaces other servers do not have. When a multi-interfaced node needs to utilize DNS, the node has to choose which...