Add to ORKGNeural networks are a computing paradigm developed from artificial intelligence and brain modelling’s fields, which lately has become very popular in business. Many researchers are seeing neural networks systems as solutions to business problems like modelling and forecasting, but accounting and audit were also touched by the new technology. The purpose of this paper is to present the ability of an artificial neural networks model to forecast and recognize patterns while analyzing company’s sales evolution. The monthly sales evolutions are considered a time-series and the target is to observe the ability of the investi-gated model to make predictions
This paper deals with the application of neural networks in predicting the fuel sales index. Neural ...
Submitted to the School of Computing and Informatics (SCI) of The University of Nairobi in partial...
Recent studies reflect a growing interest in applying neural networks to answer stock behavior. Most...
Neural networks are a computing paradigm developed from the field of artificial intelligence and bra...
Predicting business operations on the basis of previous events plays an important role in managing a...
Artificial neural networks are now being extensively used in the area of marketing analysis as they ...
The most important indicator in business is the amount of sales. The magnitude of the level of sales...
This thesis investigates the application of artificial neural networks (ANNs) for forecasting financ...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
The aim of the work presented in this paper is to forecast sales volumes as accurately as possible a...
Ovaj rad se bavi istraživanjem mogućnosti upravljanja rastom i razvojem prodaje pomoću inteligentnih...
Sales forecasting allows firms to plan their production outputs, which contributes to optimizing fir...
Econometric and predictive modeling techniques are two popular forecasting techniques. Both ofthese ...
In recent years, neural networks have received an increasing amount of attention among macroeconomic...
The main objective of this research paper is to highlight the global implications arising in financi...
This paper deals with the application of neural networks in predicting the fuel sales index. Neural ...
Submitted to the School of Computing and Informatics (SCI) of The University of Nairobi in partial...
Recent studies reflect a growing interest in applying neural networks to answer stock behavior. Most...
Neural networks are a computing paradigm developed from the field of artificial intelligence and bra...
Predicting business operations on the basis of previous events plays an important role in managing a...
Artificial neural networks are now being extensively used in the area of marketing analysis as they ...
The most important indicator in business is the amount of sales. The magnitude of the level of sales...
This thesis investigates the application of artificial neural networks (ANNs) for forecasting financ...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
The aim of the work presented in this paper is to forecast sales volumes as accurately as possible a...
Ovaj rad se bavi istraživanjem mogućnosti upravljanja rastom i razvojem prodaje pomoću inteligentnih...
Sales forecasting allows firms to plan their production outputs, which contributes to optimizing fir...
Econometric and predictive modeling techniques are two popular forecasting techniques. Both ofthese ...
In recent years, neural networks have received an increasing amount of attention among macroeconomic...
The main objective of this research paper is to highlight the global implications arising in financi...
This paper deals with the application of neural networks in predicting the fuel sales index. Neural ...
Submitted to the School of Computing and Informatics (SCI) of The University of Nairobi in partial...
Recent studies reflect a growing interest in applying neural networks to answer stock behavior. Most...