[1] |
DU R,PENG Y,CAO S,et al.Advanced nitrogen removal from wastewater by combining anammox with partial denitrification[J].Bioresource Technology,2015,179:497.
|
[2] |
杨航涛,王双保,王成龙.基于分光光度法的水质氨氮检测系统设计[J].测控技术,2012,31(5):49.
|
[3] |
乔俊飞,安茹,韩红桂.基于RBF神经网络的出水氨氮预测研究[J].控制工程,2016,23(9):1301.
|
[4] |
ESFE M H,AFRAND M,WONGWISES S,et al.Applications of feedforward multilayer perceptron artificial neural networks and empirical correlation for prediction of thermal conductivity of Mg(OH)2-EG using experimental data[J].International Communications in Heat and Mass Transfer,2015,67(4):46.
|
[5] |
ZHANG Y D,WANG S H,JI G L,et al.Fruit classification using computer vision and feedforward neural network[J].Journal of Food Engineering,2014,143(6):167.
|
[6] |
FARAJZADEH J,FARD A F,LOTFI S.Modeling of monthly rainfall and runoff of Urmia lake basin using "feed-forward neural network" and "time series analysis" model[J].Water Resources and Industry,2014(7):38.
|
[7] |
OONG T H,ISA N A.Adaptive evolutionary artificial neural networks for pattern classification[J].IEEE Trans Neural Netw,2011,22(11):1823.
|
[8] |
WANG J H,WANG H Y,CHEN Y L,et al.A constructive algorithm for unsupervised learning with incremental neural network[J].Journal of Applied Research & Technology,2015,13(2):188.
|
[9] |
PLATT J.A resource-allocating network for function interpolation[J].Neural Computation,1991,3(2):213.
|
[10] |
LAURET P,FOCK E,MARA T A.A node pruning algorithm based on a Fourier amplitude sensitivity test method[J].IEEE Transactions on Neural Networks,2006,17(2):273.
|
[11] |
ISLAM M M,SATTAR M A,AMIN M F,et al.A new adaptive merging and growing algorithm for designing artificial neural networks[J].IEEE Transactions on Systems Man and Cybernetics Part B,2009,39(3):705.
|
[12] |
HAN H G,QIAO J F.A structure optimisation algorithm for feedforward neural network construction[J].Neurocomputing,2013,99:347.
|
[13] |
GUO W,WEI H,ZHAO J,et al.Theoretical and numerical analysis of learning dynamics near singularity in multilayer perceptrons[J].Neurocomputing,2015,151:390.
|
[14] |
HACINE-GHARBI A,RAVIER P,HARBA R,et al.Low bias histogram-based estimation of mutual information for feature selection[J].Pattern Recognition Letters,2012,33(10):1302.
|
[15] |
GUO Y M,LIU Y G,ZENG G M,et al.An integrated treatment of domestic wastewater using sequencing batch biofilm reactor combined with vertical flow constructed wetland and its artificial neural network simulation study[J].Ecological Engineering,2014,64:18.
|
[16] |
MIRBAGHERI B,EHTESHAMI M,BAGHERI Z.Modeling of a sequencing batch reactor treating municipal wastewater using multi-laye perceptron and radial basis function artificial neural networks[J].Process Safety and Environmental Protection,2015,93:111.
|
[17] |
VIVIANO G,SALERNO F,CHIARA E,et al.Surrogate measures for providing high frequency estimates of total phosphorus concentrations in urban watersheds[J].Water Research,2014,64:265.
|
[18] |
JEPPSSON U,PONS M N.The COST benchmark simulation model-current state and future perspective[J].Control Engineering Practice,2004,12(3):299.
|
[19] |
HAN H G,QIAO J F.A structure optimization algorithm for feedforward neural network construction[J].Neurocomputing,2013,1(99):347.
|
[20] |
CHEN C,YAN X.Optimization of a multilayer neural network by using minimal redundancy maximal relevance-partial mutual information clustering with least square regression[J].IEEE Transactions on Neural Networks and Learning Systems,2015,26(6):1177.
|