Managers in their work use sophisticated procedures from many scientific branches. In order to make good decisions in the stretegic level of management, they can use for predictions relatively new and effective instruments like neural network algorithms GMDH and Backpropagation. Their contribution is shown in an example from the transportation enterprise. There is a time series with 192 values of manipulated transport units per month. The expert estimations made by the manager working in the transportation enterprise, which were made on the basis of technological knowledge and experience, were compared with the estimations made by above mentioned neural network prediction algorithms. In this comparison the benefit of using neural ne...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
Many studies examine the use of Neural Networks (NNs) as a tool for business time series forecasting...
Uncertainty has increased over the various situations that arise in industrial enterprises and, cons...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
The management of emerging technologies in organizations will continue to be a topic of increasing i...
In recent years, neural networks have received an increasing amount of attention among macroeconomic...
Artificial neural networks are now being extensively used in the area of marketing analysis as they ...
One information technology that may be considered by transportation managers, and which is included ...
Neural networks have recently known a major development after an extinction period of fifteen years....
Abstract: This paper discusses in detail the various advanced neural network algorithms, which are u...
Organizations operate in turbulent environments. Frequent and unexpected changes in competition, cus...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
In most industrial systems, forecasts of external demand or predictions of the future system state a...
Neural networking techniques were compared with standard regression techniques in a selection contex...
Despite increasing applications of artificial neural networks (NNs) to forecasting over the past dec...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
Many studies examine the use of Neural Networks (NNs) as a tool for business time series forecasting...
Uncertainty has increased over the various situations that arise in industrial enterprises and, cons...
Neural Network is defined as the ability of a group to solve more problems than its individual membe...
The management of emerging technologies in organizations will continue to be a topic of increasing i...
In recent years, neural networks have received an increasing amount of attention among macroeconomic...
Artificial neural networks are now being extensively used in the area of marketing analysis as they ...
One information technology that may be considered by transportation managers, and which is included ...
Neural networks have recently known a major development after an extinction period of fifteen years....
Abstract: This paper discusses in detail the various advanced neural network algorithms, which are u...
Organizations operate in turbulent environments. Frequent and unexpected changes in competition, cus...
Artificial Neural Networks (ANN) approach is an alternate way to classical methods. As a computation...
In most industrial systems, forecasts of external demand or predictions of the future system state a...
Neural networking techniques were compared with standard regression techniques in a selection contex...
Despite increasing applications of artificial neural networks (NNs) to forecasting over the past dec...
Data Mining accomplishes nontrivial extraction of implicit, previously unknown, and potentially usef...
Many studies examine the use of Neural Networks (NNs) as a tool for business time series forecasting...
Uncertainty has increased over the various situations that arise in industrial enterprises and, cons...