Soil water content forecasting by ANN and SVM hybrid architecture

[1]  Jangho Lee,et al.  Classification of breeding bird communities along an urbanization gradient using an unsupervised artificial neural network , 2007 .

[2]  Lifeng Xi,et al.  Residual life predictions for ball bearings based on self-organizing map and back propagation neural network methods , 2007 .

[3]  Yevgeniy V. Bodyanskiy,et al.  Neural network approach to forecasting of quasiperiodic financial time series , 2006, Eur. J. Oper. Res..

[4]  S. Schnabel,et al.  Prediction of Near-Surface Soil Moisture at Large Scale by Digital Terrain Modeling and Neural Networks , 2006, Environmental monitoring and assessment.

[5]  G. Buttafuoco,et al.  Geostatistical Stochastic Simulation of Soil Water Content in a Forested Area of South Italy , 2004 .

[6]  Gary William Flake,et al.  Efficient SVM Regression Training with SMO , 2002, Machine Learning.

[7]  Manuel Oliveira.  Modeling water content of a vineyard soil in the Douro Region, Portugal , 2001, Plant and Soil.

[8]  Liu Hongbin.  Soil Water Dynamics Simulation by Autoregression Models , 2004 .

[9]  Lutgarde M. C. Buydens,et al.  Using support vector machines for time series prediction , 2003 .

[10]  Zhongbo Yu,et al.  Simulations on soil water variation in arid regions , 2003 .

[11]  S. Fan,et al.  Living-donor liver transplantation for high-urgency situations , 2003, Transplantation.

[12]  Liu Hong,et al.  Study of Soil Water Forecast with Neural Network , 2003 .

[13]  John D. Albertson,et al.  Multi-scale assimilation of surface soil moisture data for robust root zone moisture predictions , 2003 .

[14]  Guoqiang Peter Zhang,et al.  Time series forecasting using a hybrid ARIMA and neural network model , 2003, Neurocomputing.

[15]  N. Baghdadi,et al.  Retrieving surface roughness and soil moisture from synthetic aperture radar (SAR) data using neural networks , 2002 .

[16]  Yuei-An Liou,et al.  Retrieving soil moisture from simulated brightness temperatures by a neural network , 2001, IEEE Trans. Geosci. Remote. Sens..

[17]  Francis Eng Hock Tay,et al.  Financial Forecasting Using Support Vector Machines , 2001, Neural Computing & Applications.

[18]  N. Malamos,et al.  Simulation of soil moisture content of a prairie field with SWAP93 , 2000 .

[19]  Yan Hui.  SUPPORT VECTOR MACHINE METHODS IN PATTERN RECOGNITION OF SEDIMENTARY FACIES , 2000 .

[20]  Vladimir N. Vapnik,et al.  The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.

[21]  F. Girosi,et al.  Nonlinear prediction of chaotic time series using support vector machines , 1997, Neural Networks for Signal Processing VII. Proceedings of the 1997 IEEE Signal Processing Society Workshop.

[22]  Alexander J. Smola,et al.  Support Vector Method for Function Approximation, Regression Estimation and Signal Processing , 1996, NIPS.

[23]  Erkki Oja,et al.  Engineering applications of the self-organizing map , 1996, Proc. IEEE.

[24]  S. H. Kang.  Stochastic modeling of dynamic process of soil moisture. , 1990 .

[25]  Teuvo Kohonen,et al.  Self-organization and associative memory: 3rd edition , 1989 .

[26]  Teuvo Kohonen,et al.  Self-Organization and Associative Memory, Third Edition , 1989, Springer Series in Information Sciences.