[图书][B] Environmental waste management
R Chandra - 2016 - books.google.com
This book promotes the proper management and utilization of industrial waste, delivering in-
depth, state-of-the-art information on the physicochemical properties, chemical composition …
depth, state-of-the-art information on the physicochemical properties, chemical composition …
Mutual information based weight initialization method for sigmoidal feedforward neural networks
J Qiao, S Li, W Li - Neurocomputing, 2016 - Elsevier
When a sigmoidal feedforward neural network (SFNN) is trained by the gradient-based
algorithms, the quality of the overall learning process strongly depends on the initial weights …
algorithms, the quality of the overall learning process strongly depends on the initial weights …
Modeling of effluent quality parameters in a submerged membrane bioreactor with simultaneous upward and downward aeration treating municipal wastewater using …
M Bagheri, SA Mirbagheri… - … and Water Treatment, 2016 - Taylor & Francis
This research was an effort to develop hybrid multilayer perceptron and radial basis function
artificial neural network–genetic algorithm (MLPANN-GA and RBFANN-GA) models to …
artificial neural network–genetic algorithm (MLPANN-GA and RBFANN-GA) models to …
Gross parameters prediction of a granular-attached biomass reactor by means of multi-objective genetic-designed artificial neural networks: touristic pressure …
Abstract The Artificial Neural Networks by Multi-objective Genetic Algorithms (ANN-MOGA)
model has been applied to gross parameters data of a Sequencing Batch Biofilter Granular …
model has been applied to gross parameters data of a Sequencing Batch Biofilter Granular …
Approximate expressions of a SBR for wastewater treatment: Comparison with numeric solutions and application to predict the biomass concentration in real cases
Most industrial wastewater treatment systems often operate under transient conditions,
causing several operational problems. An effective solution is the use of Sequencing Batch …
causing several operational problems. An effective solution is the use of Sequencing Batch …
[PDF][PDF] Supervised approach for indication of contrast enhancement in application of image segmentation
GFC Campos, RA Igawa, JL Seixas… - Eighth Int. Conf. on …, 2016 - academia.edu
Segmentation methods need a satisfactory input image with a good contrast between
Region of Interest and background to provide a high accuracy result. Thus, the application of …
Region of Interest and background to provide a high accuracy result. Thus, the application of …
Evaluation of moving bed biofilm reactor (MBBR) by applying adaptive neuro-fuzzy inference systeme (ANFIS), radial basis function (RBF) and Fuzzy Regression …
M Delnavaz, H Zangooei - Iranian journal of environmental technology, 2016 - ijet.ui.ac.ir
The purpose of this study is to investigate the accuracy of predictions of aniline removal
efficiency in a moving bed biofilm reactor (MBBR) by various methods, namely by RBF …
efficiency in a moving bed biofilm reactor (MBBR) by various methods, namely by RBF …
Oil Spills Identification in SAR Image Using Optimized RBF Network Model
Z Hui, C Peng - … Conference on Information Science and Control …, 2016 - ieeexplore.ieee.org
The Synthetic Aperture Radar (SAR) can work on all weather conditions for high-resolution
monitoring of oil spills. Efficient eigenvectors can be extracted to optimize the RBF network …
monitoring of oil spills. Efficient eigenvectors can be extracted to optimize the RBF network …