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A Fast Predicting Neural Fuzzy Model for Suspended Solid Removal Efficiency in Multimedia Filter
Multimedia Filter Sand Filtration Removal Efficiency Fuzzy Logic Suspended Solid
2013/3/13
Modeling of filter performance is very difficult because of complexity of the defining physical and chemical events in the filtration system whereas the knowledge of functionality of filter coefficien...
A novel method for lung segmentation on chest CT images: complex-valued artificial neural network with complex wavelet transform
Lung segmentation complex wavelet transform complex-valued artificial neural network
2010/10/12
Image segmentation is an important step in many computer vision algorithms. The objective of segmentation is to obtained an optimal region of convergences (ROC). Error in this stage will impact all hi...
Analysis of Mean Monthly Rainfall Runoff Data of Indian Catchments Using Dimensionless Variables by Neural Network
Dimensional Variables Artificial Neural Networks Rainfall–Runoff
2013/3/13
This paper focuses on a concept of using dimensionless variables as input and output to Artificial Neural Network (ANN) and discusses the improvement in the results in terms of various performance cri...
Wavelet Neural Network Based on NARMA-L2 Model for Prediction of Thermal Characteristics in a Feed System
wavelet neural network NARMA-L2 model particle swarm optimization
2011/8/3
Research of thermal characteristics has been a key issue in the development of high-speed feed system. Most of the work carried out thus far is based on the principle of directly mapping the thermal e...
Experimental Comparison of Performance Monitoring Using Neural Networks Trained with Parameters Derived from Delay-Tap Plots and Eye Diagrams
Fiber optics communications Pattern recognition neural networks
2015/6/4
We experimentally demonstrate the use of artificial neural networks trained with parameters derived from both delay-tap plots and eye diagrams for multi-impairment monitoring in a 40-Gbit/s non-return...
Application of artificial neural networks in modelling of quenched and tempered structural steels mechanical properties
artificial neural networks modelling quenched structural steels
2010/8/12
The material mechanical properties prediction possibility is valuable for manufacturers and design engineers. That is why over one year ago, in [1] modelling results of normalised
structural steels m...
Hybrid Neural Network Architecture for On-Line Learning
Neural Networks Instantaneously Trained Networks Back-Propagation On-Line Learning
2013/1/28
Approaches to machine intelligence based on brain models use neural networks for generalization but they do so as signal processing black boxes. In reality, the brain consists of many modules that ope...
Comparative Study of Response Surface Methodology, Artificial Neural Network and Genetic Algorithms for Optimization of Soybean Hydration
response surface methodology (RSM) artificial neural network (ANN) genetic algorithms (GA) soybean soaking
2010/8/11
The present investigation deals with the modelling and optimization of soybean hydration for facilitating soybean processing and it focuses on maximization of mass gain, water uptake and protein reten...
Artificial neural network based chaotic generator for cryptology
Artificial neural network chaos cryptology
2010/10/12
Chaotic systems are sensitive to initial conditions, system parameters and topological transitivity and these properties are also remarkable for cryptanalysts. Noise like behavior of chaotic systems i...
Neural Network Compact Ensemble and Its Applications
neural network compact ensemble(NNCE) combination weights classification performance
2011/8/3
There has been many methods in constructing neural network (NN) ensembles, where the method of simultaneous training has succeed in generalization performance and efficiency. But just like regular met...
Modeling of heat and entropy sorption of maize (cv. Sc704): neural network method
maize back propagation entropy isosteric heat sorption isotherm
2014/2/26
Equilibrium moisture content of maize affects its values of dehydration heat and entropy. Precise prediction of heat and entropy with regard to its equilibrium moisture content is a simple and fast me...
Application of Neural Net Modeling and Inverse Control to the Desulphurization of Hot Metal Process
Inverse control Neural network Constrained optimization
2010/1/14
Optimization techniques are powerful in determining inputs to a process that will drive its output to a desired target. This
inverse control problem reduces to minimizing a positive cost function tha...
An Intelligent Machine Condition Monitoring System Using Time-Based Analysis: Neuro-Fuzzy Versus Neural Network
Condition Monitoring Time Analysis Neuro-Fuzzy
2010/1/15
Monitoring and predicting machine components' faults play an important role in maintenance actions. Developing an
intelligent system is a good way to overcome the problems of maintenance management. ...
Application of artificial neural networks in modelling of normalised structural steels mechanical properties
Artificial intelligence methods Computational material science and mechanics Artificial neural networks
2009/12/14
Purpose: This paper presents the application of artificial neural networks for mechanical properties prediction of constructional steels after heat treatment.
Design/methodology/approach: On the basi...
Product Cost Management Structures: a review and neural network modelling
Activity Based Costing (ABC) Enterprise Resource Planning (ERP) Neural Networks
2009/12/8
This paper reviews the growth of approaches in product costing and draws synergies with information management and resource planning systems, to investigate potential application of state of the art m...