Soft computing

Srinivasula S, Jain A (2006) A comparative analysis of training methods for artificial neural network rainfall-runoff models. Appl Soft Comput 6 295-306... 

Abolpour B, Javan M, Karamouz M (2007) Water allocation improvement in river basin using Adaptive Neural Fuzzy Reinforcement Learning approach. Appl Soft Comput 7 265-285... 

Costel Sarbu and Horia Pop, Fuzzy Soft-Computing Methods and Their Applications in Chemistry. 

L. Zadeh, Fuzzy logic, neural networks and soft computing, in Communications of the ACM, 37 (1994) 77-84. 

Jin, Y. (2005) A comprehensive survey of fitness approximation in evolutionary computation. Soft Comput., 9, 3. 

Serra, J.M., Corma, A., Valero, S., Argente, E. and Botti, V. (2007) Soft computing techniques applied to combinatorial catalysis a new approach for the discovery and optimization of catalytic materials. QSAR Comb. Sci., 26, 11. 

Cundari, T.R., Deng, J., Pop, H.F. and Sarbu, C. (2000) Structural analysis of transition metal beta-X substituent interactions. Toward the use of soft computing methods for catalyst modelling. J. Chem. Inf. Comp. Sci., 40, 1052. 

Since perfect knowledge of the model is rarely a reasonable assumption, soft computing methods, integrating quantitative and qualitative modeling information, have been developed to improve the performance of observer-based schemes for uncertain systems [36], Major contributions to observer-based approaches can be found in [39, 56] as well, where fault isolation is achieved via a bank of observers, while identification is based on the adoption of online universal interpolators (e.g., ANNs whose weights are updated on line). As for the use of observers in the presence of advanced control techniques, such as MPC or FLC, in [44] an unknown input observer is adopted in conjunction with an MPC scheme. 

R.J. Patton, FJ. Uppal, and C J. Lopez-Toribio. Soft computing approaches to fault diagnosis for dynamic systems a survey. In Preprints of the 4th IFAC Symposium on Fault Detection Supervision and Safety for Technical Processes, Budapest, pages 298-311, 2001. 

Kecman, V., Learning and Soft Computing Support Vector Machines, Neural Networks, and Fuzzy Logic Models (Complex Adaptive Systems), MIT Press, Cambridge, MA, 2001. 

Cartwright HM, Sztandera LM (2003) Soft computing approaches in chemistry. Springer, Berlin Heidelberg New York... 

Desmond, J.M. Applications of soft computing in drug design. Exp. Opin. Ther. Patents, 1998,8, 249-258. 

Jang, J.S.R. Sun, C.T. Mizatani, E. Neuro-Fuzzy and Soft Computing Prentice-Hall Englewood Cliffs, NJ, 1997. 

Sklorz, S. A Method for Data Analysis Based on Self Organizing Feature Maps. In Proceedings of the Internal. Symposium on Soft Computing for Industry (ISSCr96), Montpellier, Prance (May 1996)... 

Jiang, N., Wu, W.X., Mitchell, 1. Threading with environment-specific score by artificial neural networks. Soft Comput. 2006,10,305-14. 

Smith, G.C. and Wrobel, C.L. (1998). Neural networks in industrial and environmental applications. In Soft Computing in Systems and Control Technology (Tzafestas, S.G., Ed.). World Scientific Press, Hong Kong, pp. 445-466. 

Methods based on fuzzy theory, neural nets, and evolutionary strategies are denoted as soft computing... 

I 8 Knowledge Processing and Soft Computing Table 8.1 Examples of expert systems in analytics. 

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