Simon Haykin, McMaster University, Hamilton, Ontario, Canada, “Neural Networks, A Comprehensive Foundation,” Chapter 6 & Chapter 7, IEEE Computer Society Press, IEEE Press ®, Copyright ©1994 by Macmillan College Publishing Company, Inc..* |
Franco Buffa, Ignazio Porceddu, Stazione Astronomica Cagliari, Temperature forecas and dome seeing minimization,I. A case study using a neural network model, TNG Technical Report n. 67, F. Buffa, I. Porceddu, Oct. 1997.* |
An Extension of the BP-Algorithm to Interval Input Vectors—Learining from Numericaql Data and Exper's Knowledge,Hisao Ishibuchi and Hidea Tanaka; (1991) IEEE International Joint Conference on Neural Networks, vol. 2 of 3, pp. 1588-1593.* |
Limiting the Effects of Weight Errors in Feed Forward Networks Using Interval Arithmetic, Davide Anguita; Sandro Ridella; Stefano Rovetta; Rodolfo Zunino; (1996) IEEE Internationa Conference on Neural Networks, pp. 414-417.* |
Search listing www.google.com.* |
R. Baker Kearfott, “Rigorous Global Search: Continuous Problems,” Nonconvex Optimization and Its Applications, vol. 13, pp. 1-17, 26-31, 169-175 and v. |
Ishibuchi et al, “An Extension of the BP-Algorithm to Interval Input Vectors—Learning from Numerical Data and Expert's Knowledge -,” 1991 IEEE International Joint Conference On Neural Networks, vol. 2 of 3, pp. 1588-1593. |
Rumelhart et al, “Parallel Distributed Processing Explorations in the Microstructure of Cognition,” vol. 1: Foundations, Chapter 8, 9 pages and 3 pages index. |
Anguita et al, “Limiting the Effects of Weight Errors in Feed Forward Networks Using Interval Arithmetic,” The 1996 IEEE International Conference On Neural Networks, Jun. 3-6, 1996, pp. 414-417. |