Electron configuration-based neural network model to predict physicochemical properties of inorganic compounds

Using Artificial Neural Network Algorithm to Predict Tensile Properties of Cotton-Covered Nylon Core Yarns

Artificial Neural Networks are information processing systems. Over the past several years, these algorithms have received much attention for their applications in pattern completing, pattern matching and classification and also for their use as a tool in various areas of problem solving. In this work, an Artificial Neural Network model is presented for predicting the tensile properties of co...

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Using Artificial Neural Network Algorithm to Predict Tensile Properties of Cotton-Covered Nylon Core Yarns

Artificial Neural Networks are information processing systems. Over the past several years, these algorithms have received much attention for their applications in pattern completing, pattern matching and classification and also for their use as a tool in various areas of problem solving. In this work, an Artificial Neural Network model is presented for predicting the tensile &#10properties of ...

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Artificial neural network model to predict the performance of a diesel power generator fueled with biodiesel

Alternative fuels are intensively investigated for the replacement of the diesel fuel. Today the diesel power generators are mostly used in the various industrial companies in Iran. Therefore, it is necessary to estimate the level of performance of the diesel power generators fueled with biofuels. For the first time, in this study, the prediction of the performance of a diesel power generator m...

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The hybrid approach based on genetic algorithm and neural network to predict financial fraud in banks

Audit has become an essential topic in the world because there is much evidence about deliberate manipulations in the reports. One of the concerns in the field of audit is discovery and search of the financial statements and the high volume of bulk data. This study tried to suggest the appropriate method to detect these frauds due to the data which has been available and a proposed algorithm. R...

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The hybrid approach based on genetic algorithm and neural network to predict financial fraud in banks

Audit has become an essential topic in the world because there is much evidence about deliberate manipulations in the reports. One of the concerns in the field of audit is discovery and search of the financial statements and the high volume of bulk data. This study tried to suggest the appropriate method to detect these frauds due to the data which has been available and a proposed algorithm. R...

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Electron configuration-based neural network model to predict physicochemical properties of inorganic compounds

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منابع مشابه

Using Artificial Neural Network Algorithm to Predict Tensile Properties of Cotton-Covered Nylon Core Yarns

Using Artificial Neural Network Algorithm to Predict Tensile Properties of Cotton-Covered Nylon Core Yarns

Artificial neural network model to predict the performance of a diesel power generator fueled with biodiesel

The hybrid approach based on genetic algorithm and neural network to predict financial fraud in banks

The hybrid approach based on genetic algorithm and neural network to predict financial fraud in banks

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