Browse Books

Wang J, Zhang W, Li Y, Wang J and Dang Z (2014). Forecasting wind speed using empirical mode decomposition and Elman neural network, Applied Soft Computing, 23, (452-459), Online publication date: 1-Oct-2014.

Zecchin C, Facchinetti A, Sparacino G and Cobelli C (2014). Jump neural network for online short-time prediction of blood glucose from continuous monitoring sensors and meal information, Computer Methods and Programs in Biomedicine, 113:1, (144-152), Online publication date: 1-Jan-2014.

Chen C, Lai M and Yeh C (2012). Forecasting tourism demand based on empirical mode decomposition and neural network, Knowledge-Based Systems, 26, (281-287), Online publication date: 1-Feb-2012.

Georgescu V and Dinucă E Evidence of improvement in neural-network based predictability of stock market indexes through co-movement entries Proceedings of the 11th WSEAS international conference on Applied informatics and communications, and Proceedings of the 4th WSEAS International conference on Biomedical electronics and biomedical informatics, and Proceedings of the international conference on Computational engineering in systems applications, (412-417)

Chakradhar S, Sankaradas M, Jakkula V and Cadambi S A dynamically configurable coprocessor for convolutional neural networks Proceedings of the 37th annual international symposium on Computer architecture, (247-257)

Chakradhar S, Sankaradas M, Jakkula V and Cadambi S (2010). A dynamically configurable coprocessor for convolutional neural networks, ACM SIGARCH Computer Architecture News, 38:3, (247-257), Online publication date: 19-Jun-2010.

Ciskowski P and Zaton M Neural pattern recognition with self-organizing maps for efficient processing of forex market data streams Proceedings of the 10th international conference on Artificial intelligence and soft computing: Part I, (307-314)

Nikolov V Clustering and prediction of risk spread curves Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing, (1-6)

Rodrigues L, de Mattos Neto P and Ferreira T A prime step in the time series forecasting with hybrid methods Proceedings of the 2009 international joint conference on Neural Networks, (2432-2439)

Pacelli V An intelligent computing algorithm to analyze bank stock returns Proceedings of the 5th international conference on Emerging intelligent computing technology and applications, (1093-1103)

Ke J, Liu X and Wang G Theoretical and Empirical Analysis of the Learning Rate and Momentum Factor in Neural Network Modeling for Stock Prediction Proceedings of the 3rd International Symposium on Advances in Computation and Intelligence, (697-706)

Swift D and Dagli C (2008). A study on the network traffic of Connexion by Boeing, Engineering Applications of Artificial Intelligence, 21:8, (1113-1129), Online publication date: 1-Dec-2008.

Lunga D and Marwala T Online forecasting of stock market movement direction using the improved incremental algorithm Proceedings of the 13th international conference on Neural information processing - Volume Part III, (440-449)