[PDF] Top 20 Analysis Water Quality by Artificial Neural Network in Bazoft River (Iran)

Analysis Water Quality by Artificial Neural Network in Bazoft River (Iran)

... decreasing water quality in this ...annual water volume of ...tectonic, Bazoft affected by Zard-koh and Bazoft ...of Bazoft Fault, the Hormmoz formation has cut the younger ... See full document

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Forecasting Muar river water quality using radial basis function neural network

... This project attempts to avoid this difficult and lengthy process by approximating the problem using Artificial Intelligence (AI). A different type of AI which is the RBFNN was used instead of commonly used ... See full document

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Water quality assessment of Muar River using environmetric techniques and Artificial Neural Networks

... By measured simple correlation coefficient (Pearson) matrix (r), the degree of a linear association between variables indicates suspended solid and turbidity are strongly and significantly correlated each other (r = ... See full document

6

Water Quality Index Estimation Model for Aquaculture System Using Artificial Neural Network

... investigative analysis on feedforward ANN and the fuzzy logic for model estimation with both algorithms giving similar results, an indication that both algorithms are applicable in the estimation of water ... See full document

10

Groundwater quality assessment using artificial neural network: A case study of Bahabad plain, Yazd, Iran

... declining water quality, increasing number of industries, agricultural wastewater and population in this ...of water in recent ...affects water quality, and could be a subject for ... See full document

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Integrated versus isolated scenario for prediction dissolved oxygen at progression of water quality monitoring stations

... on artificial neural networks was developed for prediction of the DO concentration in water of the Johor river ...feed-forward neural network which is introduced in this ... See full document

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RAINFALL-RUNOFF MODELING OF TUMAGA RIVER USING ARTIFICIAL NEURAL NETWORK

... Tumaga River is one of the main sources of water of Zamboanga City, ...The river supplies 90 million litres of water every day to supply the commercial business in the city, domestic use and ... See full document

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Artificial Neural Networks Application in Prediction of Water Quality

... The correlation co-efficient is 0.9496, 0.9892, 0.9985 for Sulphates, Chlorides, TDS respectively for ground water. Correlation coefficient for surface waters are 0.605, 0.8703, 0.9658 respectively for ... See full document

6

Modelling BOD and COD using Artificial Neural Network with Factor Analysis

... factor analysis is started by selecting the 24 parameters of the water ...Korapuzha river is used for the ...factor analysis includes the calculation of correlation ...of analysis used ... See full document

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An Estimating Model for Water quality of river Ganga using Artificial Neural Network

... of river Yangtze, along with control their relations with the water level fluctuation termed as (WLF), which was measuredthroughthe annual encroachment ...opening water (Yichang) showedthe high pH ... See full document

6

Analysis of cardiovascular (cvd)/coronary heart diseases(chd) using artificial neural network (ann)

... the neural network refers to a network of biological ...neurons. Artificial neural network (ANN) is the mimicking of the human neuron on a ...multilayer network made up of ... See full document

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Water Quality Assessment in Terms of Water Quality Index (WQI): Case Study; Gorganroud River, Golestan Province, Iran

... northeastern Iran; therefore the aim of this study was to study survey of Gorgnroud River water quality in Golestan Province using Water Quality Index ...Gorgnroud River, ... See full document

10

Text Recognition using Convolutional Neural Network: A Review

... This paper highlights the fact that how an android app will make it possible for every common man to ease the tedious process of scanning and converting the images into soft copy just on a click even while working ... See full document

5

Informative Feature Trained Classification System For Credit Card Fraud Detection

... Neural network based fraud detection methods are most ...of artificial neurons is contained in artificial neural ...of neural network. In neural network ... See full document

5

Analysis of Variation of Water Quality in Kelani River, Sri Lanka

... Kelani River watershed, the amount of waste effluents that are released into the river has been ...the water quality variation in an area like Kaduwela, which is highly populated, will be ... See full document

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ABSTRACT: Chaos and chaos control are new theories and new fields of nonlinear dynamics. Chaotic motion

... Artificial neural network has been proved to have the characteristics of arbitrary approximation to nonlinear ...Combining artificial neural network with chaotic system, some ... See full document

5

Power Flow Analysis by Artificial Neural Network

... to analysis the power systems are developed instead of the steady state of mathematical ...the network problems gets ...computer analysis of power systems has become ...flow analysis the of a ... See full document

5

Threat analysis using artificial neural network

... Although there are some Artificial Neural Network threat analysis tools in the market, the number of variables can be included in analysis is limited. As a result, if the number of ... See full document

15

Artificial Neural Network Analysis in Food Science

... flavor network that captures the flavor compounds shared by culinary ...and network topology, the structure of the TSs can change from scale-free to ... See full document

6

Application of Artificial Intelligence for Epilepsy Disease

... D. Reinforcement learning: this learning is motivated by psychological expert. Algorithm is well versed when the response is false, but never tells how to precise it. It inspects and tryout different prospects till it ... See full document

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