This paper presents an automatic acquisition process to acquire the semantic meaning for the words. This process obtains the representation vectors for stemmed words by iteratively improving the vectors, using a trained Elman network. Experiments performed on a corpus composed of Shakespeare’s writings show its linguistic analysis and categorization abilities. & 2008 Elsevier B.V. All rights re...

This paper investigates the application of partially recurrent artificial neural networks (ANN) in the flow estimation for São Francisco River that feeds the hydroelectric power plant of Sobradinho. An Elman neural network was used suitably arranged to receive samples of the flow time series data available for São Francisco River shifted by one month. For that, the neural network input had a de...

It has great significance to estimate the schedulable capacity of air-conditioning load of public building for participating the power network regulation by forecasting the air-conditioning load accurately. A novel forecast method considering the accumulated temperature effect is proposed in this paper based on Elman neural network. Firstly, the starting and ending date for forecast considering...

The rBle of the loss of gastrointestinal secretions in the pathogenesis of intestinal obstruction has become recognized as one of great importance. The chemical changes produced by the loss of gastric juice have been studied by MacCallum and coworkers (l), Haden and Orr (2), Gamble and Ross (3), Hastings, Murray, and Murray (4), and Dragstedt and Ellis (5). The changes produced by the loss of p...

From the viewpoint of applying recurrent neural networks to AI, it is not suitable to use learning algorithms based on optimum control theory. One reason of this problem is lack of correspondence between these algorithms and traditional symbol processing. In this report, we propose a new algorithm for modi ed Elman networks (PEX model). This algorithm is derived from the minimization procedure ...