2008
DOI: 10.1068/b3101
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Neural Networks and Genetic Algorithms as Forecasting Tools: A Case Study on German Regions

Abstract: This paper develops and applies neural network (NN) models to forecast regional employment patterns in Germany. Computer-aided optimization tools that imitate natural biological evolution to find the solution that best fits the given case (namely, genetic algorithms, GAs) are also used to detect the best NN structure. GA techniques are compared with more ‘traditional’ techniques which require the supervision of experienced analysts. We test the performance of these techniques on a panel of 439 districts in Wes… Show more

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Cited by 18 publications
(7 citation statements)
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“…Nearly all studies apply parametric methods by postulating a linear relationship between the target variable and the independent variables. This has, among others, been criticised by Patuelli et al (2008) or Blien and Tassinopoulos (2001) since academic literature on the topic has not yet reached a consensus on regional economic interdependencies or linkages. The studies mention that non-linear models clearly show forecast improvements and are a good competitor to standard techniques.…”
Section: State-of-the-art In Regional Economic Forecastingmentioning
confidence: 99%
“…Nearly all studies apply parametric methods by postulating a linear relationship between the target variable and the independent variables. This has, among others, been criticised by Patuelli et al (2008) or Blien and Tassinopoulos (2001) since academic literature on the topic has not yet reached a consensus on regional economic interdependencies or linkages. The studies mention that non-linear models clearly show forecast improvements and are a good competitor to standard techniques.…”
Section: State-of-the-art In Regional Economic Forecastingmentioning
confidence: 99%
“…On VSN (vehicular sensor network) platform [28].The result obtained by ANN model is nothing but logical response based on history of the data. The artificial intelligence technique using Genetic algorithm (GA) on Artificial Neural network platform is also preferred by many researchers [29][30][31][32][33][34]. The genetic algorithm has important property of genetic inheritance which made it a complex algorithm for data mining.…”
Section: Introductionmentioning
confidence: 99%
“…15 The most important feature of an ANN is that it establishes expert knowledge based on pattern recognition logic to simulate the objective phenomenon. Since Fisher 4 and Openshaw 5 first applied ANNs for spatial analyses, many subsequent studies have successfully applied ANNs to investigate various urban issues such as land use changes, 7,16,17 urban growth research, 1,8,18 regional labor markets, 19 traffic management, 20 management of building energy usage, 21 and regional economic activities. 22,23 An ANN is a type of deterministic algorithm and is usually used to perform static simulations for pattern classifications; 15 however, various urban phenomena are complex and dynamic and often depend on the probabilities with which certain events may be triggered.…”
Section: Introductionmentioning
confidence: 99%