Recurrent Neural Networks for Prediction offers a new insight into the learning algorithms, architectures and stability of recurrent neural networks and, consequently, will have instant appeal. It provides an extensive background for researchers, ac
During the past decade there has been an explosion in computation andinformation technology. With it has come vast amounts of data in avariety of fields such as medicine, biology, finance, and marketing.The challenge of understanding these data has
Aiming at the disadvantages of prediction model of single BP neural network, a prediction model was presented by combining AdaBoost algorithm and BP neural network for improving the forecasting accuracy of single BP neural network. The ensemble BP n
