Wood-water sorption isotherm prediction with artificial neural networks: A preliminary study

References

Avramidis, S. (1997) The basics of sorption. In: Proceedings of the International Conference on Wood-Water Relations, COST Action E8 “Mechanical Performance of Wood and Wood Products”. June 16–17, Copenhagen, Denmark. pp. 1–16.Search in Google Scholar

Boillereaux, L., Cadet, C., Le Bail, A. (2003) Thermal properties estimation via real time neural network learning. J. Food Eng.57:17–23.10.1016/S0260-8774(02)00216-9Search in Google Scholar

Callan, R. The Essence of Neural Networks. Prentice Hall, UK, 1999.Search in Google Scholar

Fan, K., Hatzikiriakos, S.G., Avramidis, S. (1999) Determination of the surface fractal dimension from sorption isotherms of five softwoods. Wood Sci. Technol.33:139–149.10.1007/s002260050105Search in Google Scholar

Gaupe, D. Principles of Artificial Neural Networks. World Scientific, Singapore, 1997.Search in Google Scholar

Hao, B., Avramidis, S. (2001) Wood sorption fractality in the hygroscopic range. Part 1. Evaluation of a modified classic BET model. Wood Fiber Sci.33(1):119–125.Search in Google Scholar

Hao, B., Avramidis, S. (2003) Wood sorption fractality in the hygroscopic range. Part 2. New model development and validation. Wood Fiber Sci.35(4):601–608.Search in Google Scholar

Hartley, I.D. (2000) Application of the Guggenheim-Anderson-deBoer sorption isotherm model to klinki pine (Araucaria klinkii Lauterb.). Holzforschung54(6):661–663.10.1515/HF.2000.111Search in Google Scholar

Hartley, I.D., Avramidis, S. (1993) Analysis of the wood isotherm using clustering theory. Holzforschung47(2):163–167.10.1515/hfsg.1993.47.2.163Search in Google Scholar

Haykin, S. Neural Networks: A Comprehensive Foundation. McMillan College Publishing Company, New York, 1994.Search in Google Scholar

Hunter, A.J. (1996) A complete theoretical isotherm for wood, based on capillary condensation. Wood Sci. Technol.30(20):127–131.10.1007/BF00224964Search in Google Scholar

Hussain, M.A., Safiur Rahman, M., Ng, C.W. (2002) Prediction of pores formation (porosity) in foods during drying: generic models by the use of hybrid neural network. J. Food Eng.51:239–248.10.1016/S0260-8774(01)00063-2Search in Google Scholar

Jambunathan, K., Hartle, S.L., Ashforth-Frost, S., Fontana, V.N. (1996) Evaluating convective heat transfer coefficients using neural networks. Int. J. Heat Mass Transfer39(11):2329–2332.10.1016/0017-9310(95)00332-0Search in Google Scholar

Jacobs, R.A. (1988) Increased rates of convergence through learning rate adaption. Neural Networks1:295–307.10.1016/0893-6080(88)90003-2Search in Google Scholar

Koumoutsakos, A., Avramidis, S. (1999) Enthalpy-entropy compensation in water sorption by various wood species. Holz Roh Werkstoff57:379–382.10.1007/s001070050363Search in Google Scholar

Minai, A.A., Wiliams, R.D. (1990) Acceleration of back-propagation through learning rate and momentum adaption. In: International Joint Conference on Neural Networks, Vol. I. pp 676–679.Search in Google Scholar

Myhara, R.M., Sablani, S. (2001) Unification of food water sorption isotherms using artificial neural networks. Drying Technol.19(8):1543–1554.10.1081/DRT-100107258Search in Google Scholar

NCSS (2000) Statistical package. Kaysville, UT, USA.Search in Google Scholar

Neuralware. (2001) Getting started. A tutorial for Neuralworks Professional II/PLUS. Carnegie, PA, USA.Search in Google Scholar

Paliwal, J., Visen, N.S., Jayas, D.S. (2001) Evaluation of neural network architectures for cereal grain classification using morphological features. J. Agric. Eng.79(4):361–370.10.1006/jaer.2001.0724Search in Google Scholar

Rummelhart, D.E., Hinton, G.E., Wiliams, R.J. (1985) Learning internal representations by error propagation. Institute for Cognitive Science. Report 8506. University of California, San Diego.Search in Google Scholar

Sablani, S.S., Baik, O.-D., Marcotte, M. (2002) Neural networks for predicting thermal conductivity of bakery products. J. Food Eng.52:299–304.10.1016/S0260-8774(01)00119-4Search in Google Scholar

Siau, J.F. (1995) Wood: influence of moisture on physical properties. Department of Wood Science and Forest Products, VPI & SU.Search in Google Scholar

Skaar, C. Wood-Water Relations. Springer, Berlin, Heidelberg, New York, 1988.10.1007/978-3-642-73683-4Search in Google Scholar

Sreekanth, S., Ramaswamy, H.S., Sablani, S.S. (1998) Prediction of psychometric parameters using neural networks. Drying Technol.16(3–5):825–837.10.1080/07373939808917438Search in Google Scholar

Woo, K.L. (2000) The effect of mountain pine beetle killed wood on pulp fibre quality: an exploratory study. MSc thesis, Department of Wood Science, The University of British Columbia, Vancouver, BC, Canada.Search in Google Scholar