WANG D, ZENG X J, John A K., “Hierarchical hybrid fuzzy-neural networks for approximation with mixed input variables”, Neurocomputing, Vol.70, 2007, pp. 3019-3033.10.1016/j.neucom.2006.07.015
FENG S, LI H X, HU D., “A new training algorithm for HHFNN based on Gaussian membership function for approximation”, Neurocomputing, Vol.72, 2009, pp.1631-1638.10.1016/j.neucom.2008.08.013
YU Xian-Chuan, AI Sha, HU Dan, “The hierarchical hybrid fuzzy-neural network based on Lasso function and its application to classification of remote sensing images”, Chinese journal of geophysics, Vol.54, No.4, 2011, pp.1334-1342.10.1002/cjg2.1641
Saltelli, A., Ratto, M., Andres, T., Campolongo, F., Cariboni, J., Gatelli, D. Saisana, M., and Tarantola, S., “Global Sensitivity Analysis”, The Primer, John Wiley& Sons.
Tchaban T, Taylor M J, Griffin A., “Establishing impact s of the input s in a feed forward neural network”, Neural Compute Appl, Vol.7, 1998, pp.309.10.1007/BF01428122
Dimopoulos Y, Bourret P, Lek S., “Use of some sensitivity criteria for choosing networks with good generalization ability”, Neural Processing Letters, Vol. 2, No.6, 1995, pp. 1-4.10.1007/BF02309007
Ruck D W, Rogers S K, Kabrisky M., “Feature selection using multi layer perceptrons”, Journal of Neural Network Computing, Vol.2, No.2, 1990, pp.40-48.
C. Ciric, P. Ciffroy, S. Charles, “Use of sensitivity analysis to identify influential and non-influential parameters within an aquatic ecosystem model”, Ecological Modelling, Vol.246, 2012, pp.119-130.10.1016/j.ecolmodel.2012.06.024
Muriel Gevreya, Ioannis Dimopoulosb, Sovan Leka, “Two-way interaction of input variables in the sensitivity analysis of neural network models”, Ecological Modelling, Vol. 95, 2006, pp. 43-50.10.1016/j.ecolmodel.2005.11.008
Scardi M, Harding, “Developing an empirical model of phytoplankton primary productions : a neural network case study”, Ecol Model, Vol.120, 1999, pp. 213.10.1016/S0304-3800(99)00103-9
Stanley J. Kemp, Patricia Zaradic and Frank Hansen, “An approach for determining relative input parameter importance and significance in artificial neural networks”, ecological modeling, Vol.204, 2007, pp. 326–334.10.1016/j.ecolmodel.2007.01.009
Julian D, Olden Donald A. Jackson, “Illuminating the “black box” : a randomization approach for understanding variable cont ributions in artificial neural networks”, Ecological Modelling , Vol.154, 2002, pp. 135.10.1016/S0304-3800(02)00064-9
S.C.Mukhopadhyay, “Quality inspection of electroplated materials using planar type micro- magnetic sensors with post processing from neural network model”, IEE Proceedings – Science, Measurement and Technology, Vol. 149, No. 4, pp. 165-171, July 2002.10.1049/ip-smt:20020340
Storlie, C.B., Swiler, L.P., Helton, J.C., and Sallaberry, C.J., “Implementation and evaluation of nonparametric regression procedures for sensitivity analysis of computationally demanding models”, Reliability Engineering& System Safety, Vol. 94, No.11, 2009, pp. 17351763.10.1016/j.ress.2009.05.007
S.C.Mukhopadhyay, S.Yamada and M.Iwahara, “Evaluation of near-surface material properties using planar type mesh coils with post-processing from neural network model”, International journal Studies in Applied Electromagnetics and Mechanics, IOS Press Vol. 23, pp. 181-189, 2002.
Paulo Cortez and Mark J. Embrechts, “Using sensitivity analysis and visualization techniques to open black box data mining models”, Information Sciences, Vol. 225, 2013, pp. 117.10.1016/j.ins.2012.10.039
Rouse JW, Haas RH, SchellJA,Deering DW, Harlan JC., “Monitoring the vernal advancements and retrogradation of natural vegetation”, In:NASA/GSFC, ed. Final Report.Greenbelt, MD, USA. 1974, pp.1-137.
J. C. Patra, G. Chakraborty and S.C. Mukhopadhyay, Functional Link Neural Networkbased Intelligent Sensors for Harsh Environments”, Special issue on Modern Sensing Technologies, Sensors and Transducers Journal, ISSN 1726-5479, Vol . 90, pp. 209-220, April 2008.
Wang Liping, “Feature Selection Algorithm Based On Conditional Dynamic Mutual Information, International Journal on Smart Sensing and Intelligent Systems”, vol. 8, no. 1, 2015, pp. 316-337.10.21307/ijssis-2017-761
McFeeters S K., “The use of normalized difference water index (NDWI) in the delineation of open water features”, International Journal of Remote Sensing, Vol.7, No. 17, 1996, pp. 14251432.10.1080/01431169608948714
J. Yang, X. Zeng, et al., “Computation of multilayer perceptron sensitivity to input perturbation”, Neurocomputing , Vol. 99, No.1, 2013, pp. 390-398.10.1016/j.neucom.2012.07.020
Yanmin LUO, Peizhong LIU and Minghong LIAO, “An Artificial Immune Network Clustering Algorithm for Mangroves Remote Sensing Image, International Journal on Smart Sensing and Intelligent Systems”, vol. 7, no. 1, 2014, pp. 116-134.10.21307/ijssis-2017-648
Jianming Liu, “Neural Networks Method Applied to the Property Study of Steel-Concrete Composite Columns Under Axial Compression”, International Journal on Smart Sensing and Intelligent Systems, vol. 6, no.2, 2013, pp. 548-566.10.21307/ijssis-2017-554