Integrating spectral indices with environmental parameters for estimating heavy metal concentrations in rice using a dynamic fuzzy neural-network model
暂无分享,去创建一个
Meiling Liu | Xiangnan Liu | Menxin Wu | Lufeng Li | Lina Xiu | Meiling Liu | Xiangnan Liu | Lina Xiu | Lufeng Li | Menxin Wu
[1] H. Noh,et al. A Neural Network Model of Maize Crop Nitrogen Stress Assessment for a Multi-spectral Imaging Sensor , 2006 .
[2] Tony Plate,et al. Visualizing the Function Computed by a Feedforward Neural Network , 2000, Neural Computation.
[3] Guoping Zhang,et al. The influence of pH and organic matter content in paddy soil on heavy metal availability and their uptake by rice plants. , 2011, Environmental pollution.
[4] A. Malik,et al. Artificial neural network modeling of the river water quality—A case study , 2009 .
[5] Y. Pachepsky,et al. Artificial Neural Networks to Estimate Soil Water Retention from Easily Measurable Data , 1996 .
[6] Hui Chen,et al. Feasibility of estimating heavy metal concentrations in Phragmites australis using laboratory-based hyperspectral data - A case study along Le'an River, China , 2010, Int. J. Appl. Earth Obs. Geoinformation.
[7] Si-Ning Chen,et al. [Study on the spectrum response of Brassica Campestris L leaf to the zinc pollution]. , 2007, Guang pu xue yu guang pu fen xi = Guang pu.
[8] Hongrui Wang,et al. Generalized dynamic fuzzy neural network-based tracking control of robot manipulators , 2004, Proceedings of 2004 International Conference on Machine Learning and Cybernetics (IEEE Cat. No.04EX826).
[9] Ralf Wieland,et al. Adaptive fuzzy modeling versus artificial neural networks , 2008, Environ. Model. Softw..
[10] Dawei Han,et al. Evaporation Estimation Using Artificial Neural Networks and Adaptive Neuro-Fuzzy Inference System Techniques , 2009 .
[11] Isaac Asencio,et al. Capability of Selected Crop Plants for Shoot Mercury Accumulation from Polluted Soils: Phytoremediation Perspectives , 2007, International journal of phytoremediation.
[12] Yo-Ping Huang,et al. The integration and application of fuzzy and grey modeling methods , 1996, Fuzzy Sets Syst..
[13] J. Fernandes,et al. Biochemical, physiological, and structural effects of excess copper in plants , 1991, The Botanical Review.
[14] J. Buckley,et al. Fuzzy neural networks: a survey , 1994 .
[15] A. Huete. A soil-adjusted vegetation index (SAVI) , 1988 .
[16] G. Huang,et al. Grey integer programming: An application to waste management planning under uncertainty , 1995 .
[17] T. Martin McGinnity,et al. An approach for on-line extraction of fuzzy rules using a self-organising fuzzy neural network , 2005, Fuzzy Sets Syst..
[18] F. Meer,et al. Quantitative analysis of salt-affected soil reflectance spectra: A comparison of two adaptive methods (PLSR and ANN) , 2007 .
[19] P. Das,et al. Studies on cadmium toxicity in plants: a review. , 1997, Environmental pollution.
[20] C. Mao,et al. Comparison of two hyperspectral imaging and two laser-induced fluorescence instruments for the detection of zinc stress and chlorophyll concentration in bahia grass (Paspalum notatum Flugge.) , 2003 .
[21] Meng Joo Er,et al. Dynamic fuzzy neural networks-a novel approach to function approximation , 2000, IEEE Trans. Syst. Man Cybern. Part B.
[22] Ninan Sajeeth Philip,et al. A neural network tool for analyzing trends in rainfall , 2003 .
[23] J. Deng,et al. Introduction to Grey system theory , 1989 .
[24] Paul M. Feikema,et al. Quantifying uncertainty from large‐scale model predictions of forest carbon dynamics , 2006 .
[25] Siza D. Tumbo,et al. HYPERSPECTRAL–BASED NEURAL NETWORK FOR PREDICTING CHLOROPHYLL STATUS IN CORN , 2002 .
[26] I Thornton,et al. Environmental contamination and seasonal variation of metals in soils, plants and waters in the paddy fields around a Pb-Zn mine in Korea. , 1997, The Science of the total environment.
[27] Alessandro Sperduti,et al. Discriminant Pattern Recognition Using Transformation-Invariant Neurons , 2000, Neural Computation.
[28] Xuezheng Shi,et al. Hyper-spectral remote sensing to monitor vegetation stress , 2008 .
[29] Meng Joo Er,et al. Control of a mobile robot using generalized dynamic fuzzy neural networks , 2004, Microprocess. Microsystems.
[30] Sheng-Huei Chang,et al. Airborne biogeophysical mapping of hidden mineral deposits , 1983 .
[31] Jyh-Shing Roger Jang,et al. ANFIS: adaptive-network-based fuzzy inference system , 1993, IEEE Trans. Syst. Man Cybern..
[32] Ahmed Ouenes,et al. Practical application of fuzzy logic and neural networks to fractured reservoir characterization , 2000 .
[33] Meng Joo Er,et al. A fast approach for automatic generation of fuzzy rules by generalized dynamic fuzzy neural networks , 2001, IEEE Trans. Fuzzy Syst..
[34] Meiling Liu,et al. Neural-network model for estimating leaf chlorophyll concentration in rice under stress from heavy metals using four spectral indices , 2010 .
[35] Gwo-Ching Liao,et al. Application of fuzzy neural networks and artificial intelligence for load forecasting , 2004 .
[36] Mohammad Ali Ghorbani,et al. Sea water level forecasting using genetic programming and comparing the performance with Artificial Neural Networks , 2010, Comput. Geosci..
[37] T.Y. Pai,et al. Using fuzzy inference system to improve neural network for predicting hospital wastewater treatment plant effluent , 2009, Comput. Chem. Eng..
[38] Manuel A. Rodrigo,et al. Use of neurofuzzy networks to improve wastewater flow-rate forecasting , 2009, Environ. Model. Softw..
[39] H. Ertunç,et al. Comparative analysis of an evaporative condenser using artificial neural network and adaptive neuro-fuzzy inference system , 2008 .
[40] Huoyan Wang,et al. Risk assessment of potentially toxic element pollution in soils and rice (Oryza sativa) in a typical area of the Yangtze River Delta. , 2009, Environmental pollution.
[41] Lutgarde M. C. Buydens,et al. Possibilities of visible–near-infrared spectroscopy for the assessment of soil contamination in river floodplains , 2001 .
[42] Chin-Teng Lin,et al. An ART-based fuzzy adaptive learning control network , 1997, IEEE Trans. Fuzzy Syst..
[43] Xin Chen,et al. Spectral response of rice (Oryza sativa L.) leaves to Fe2+ stress , 2009, Science in China Series C: Life Sciences.
[44] R. Chaney,et al. The Physiology of Metal Toxicity in Plants , 1978 .
[45] Zhang Guo-ping,et al. Effect of Grain Position within a Panicle and Variety on As, Cd, Cr, Ni, Pb Concentrations in japonica Rice , 2005 .
[46] L. Buydens,et al. Exploring field vegetation reflectance as an indicator of soil contamination in river floodplains. , 2004, Environmental pollution.
[47] Giles M. Foody,et al. Using prior knowledge in artificial neural network classification with a minimal training set , 1995 .
[48] William J. Collins,et al. Confirmation of the airborne biogeophysical mineral exploration technique using laboratory methods , 1983 .