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Performance Simulation of H-TDS Unit of Fajr Industrial Wastewater Treatment Plant Using a Combination of Neural Network and Principal Component Analysis
Simulation Artificial Neural Network PCA Fajr Industrial Waste Water Treatment Plant High TDS Unit
2013/3/19
Nowadays, with regard to environmental issues, proper operation of wastewater treatment plants is of particular importance that in the case of inappropriate utilization, they will cause serious proble...
Neuronal avalanches of a self-organized neural network with active-neuron-dominant structure
Neuronal avalanches self-organized neural network active-neuron-dominant structure Neurons and Cognition
2012/5/3
Neuronal avalanche is a spontaneous neuronal activity which obeys a power-law distribution of population event sizes with an exponent of -3/2. It has been observed in the superficial layers of cortex ...
Decorrelation of neural-network activity by inhibitory feedback
Decorrelation of neural-network inhibitory feedback Neurons and Cognition
2012/5/2
Correlations in spike-train ensembles can seriously impair the encoding of information by their spatio-temporal structure. An inevitable source of correlation in finite neural networks is common presy...
Performance Improvement of GPS GDOP Approximation Using Recurrent Wavelet Neural Network
Rapid and Precise Calculation GPS GDOP RWNN
2013/3/5
One of the most important factors affecting the precision of the performance of a GPS receiver is the relative positioning of satellites to each other. Therefore, it is essential to choose appropriate...
Adaptable product configuration system based on neural network
knowledge acquisition neural network
2011/10/15
In the rapidly diversifying and globalising market, product configuration is implemented in a dynamic environment with continuous change of configuration knowledge. The adaptability of the product con...
An Improved on BP Neural Network for Financial Crisis Prediction
Neural Networks Financial crisis forecasting
2011/8/19
Financial crisis early warning model has important economic research value, and foreign scholars have conducted many researches and achieved many results. For example :Beaver（1966）、Altman（1968）、Ohlson...
Multiscale approach for bone remodeling simulation based on finite element and neural network computation
Multiscale Hierarchical Bone remodeling Finite element Neural network
2011/8/5
Abstract: The aim of this paper is to develop a multiscale hierarchical hybrid model based on finite element analysis and neural network computation to link mesoscopic scale (trabecular network level)...
Generalized versus non-generalized neural network model for multi-lead inflow forecasting at Aswan High Dam
non-generalized neural network model multi-lead inflow
2011/3/15
Artificial neural networks (ANN) have been found efficient, particularly in problems where characteristics of the processes are stochastic and difficult to describe using explicit mathematical models....
Agricultural data prediction by means of neural network
neural network multi-layer perceptron approximation learning regression
2014/2/27
The contribution deals with the prediction of crop yield levels, using an artificial intelligence approach, namely a multi-layer neural network model. Subsequently, we are contrasting this approach wi...
Effect of moisture content on thermodynamic characteristics of grape: mathematical and artificial neural network modelling
sorption thermodynamic drying, neural network grape
2014/2/25
Artificial neural networks (ANNs) and four empirical mathematical models, namely Henderson, GAB, Halsey, and Oswin were used for the estimation of equilibrium moisture content (EMC) of the dried grape...
Application of artificial neural network and wavelet transform for vibration analysis of combined faults of unbalances and shaft bow
Rotor test rig Rotor faults vibration analysis, unbalance
2010/9/26
The vibration analysis of rotating machinery can give an indication of the condition of potential faults such as unbalance, bent shaft, shaft crack, bearing clearance, rotor rub, misalignment, loosene...
Enhancing neural-network performance via assortativity
Enhancing neural-network performance via assortativity
2011/1/5
The performance of attractor neural networks has been shown to depend crucially on the heterogeneity of the underlying topology. We take this analysis a step further by examining the effect of degree-...
Verification of filter efficiency of horizontal roughing filter by Weglin's design criteria and Artificial Neural Network
Verification filter efficiency horizontal roughing filter Artificial Neural Network
2010/9/26
The general objective of this study is to estimate the performance of the Horizontal Roughing Filter (HRF) by using Weglin's design criteria based on 1/3–2/3 filter theory. The main objective of the p...
In this study, shape optimisation of cantilever beams has been carried out using neural network. Considering different geometrical parameters, finite element analyses of cantilever beams are carried o...
Testing of information condensation in a model reverberating spiking neural network
information condensation model reverberating spiking neural network
2011/1/5
Information about external world is delivered to the brain in the form of structured in time spike trains. During further processing in higher areas, information is subjected to a certain condensation...