Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/73285/1/1467-9876.00109.pd
The paper examines the role of analytical tools in analysis of economic statistical data (commonly r...
This paper studies the advances in time series forecasting models using artificial neural network me...
Artificial Neural Networks (ANN) consists of some components, such as architecture and learning alg...
This study shows that neural networks have been advocated as an alternative to traditional statistic...
Many studies examine the use of Neural Networks (NNs) as a tool for business time series forecasting...
This paper addresses the concerns of Faraway and Chatfield (1998) who questioned the forecasting abi...
The analysis of a time series is a problem well known to statisticians. Neural networks form the bas...
summary:Artificial neural networks (ANN) have received a great deal of attention in many fields of e...
Applicability of neural nets in time series forecasting has been considered and researched. For this...
Time series forecasting is an area of research within the discipline of machine learning. The ARIMA ...
There is decades long research interest in artificial neural networks (ANNs) that has led to several...
Neural networks (NN) have been widely touted as solving many forecasting and decision modeling probl...
The results from applying neural networks to business forecasting have been mixed. Among the most en...
Made available in DSpace on 2016-08-10T10:40:27Z (GMT). No. of bitstreams: 1 ANA PAULA DE SOUSA.pdf:...
The development of machine learning research has provided statistical innovations and further develo...
The paper examines the role of analytical tools in analysis of economic statistical data (commonly r...
This paper studies the advances in time series forecasting models using artificial neural network me...
Artificial Neural Networks (ANN) consists of some components, such as architecture and learning alg...
This study shows that neural networks have been advocated as an alternative to traditional statistic...
Many studies examine the use of Neural Networks (NNs) as a tool for business time series forecasting...
This paper addresses the concerns of Faraway and Chatfield (1998) who questioned the forecasting abi...
The analysis of a time series is a problem well known to statisticians. Neural networks form the bas...
summary:Artificial neural networks (ANN) have received a great deal of attention in many fields of e...
Applicability of neural nets in time series forecasting has been considered and researched. For this...
Time series forecasting is an area of research within the discipline of machine learning. The ARIMA ...
There is decades long research interest in artificial neural networks (ANNs) that has led to several...
Neural networks (NN) have been widely touted as solving many forecasting and decision modeling probl...
The results from applying neural networks to business forecasting have been mixed. Among the most en...
Made available in DSpace on 2016-08-10T10:40:27Z (GMT). No. of bitstreams: 1 ANA PAULA DE SOUSA.pdf:...
The development of machine learning research has provided statistical innovations and further develo...
The paper examines the role of analytical tools in analysis of economic statistical data (commonly r...
This paper studies the advances in time series forecasting models using artificial neural network me...
Artificial Neural Networks (ANN) consists of some components, such as architecture and learning alg...
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