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Neural Networks in Business Forecasting
Neural Networks in Business Forecasting
174,23 €
193,59 €
  • Mēs nosūtīsim 10-14 darba dienu laikā.
Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in forecasting using neural networks. This provides for researchers and practitioners some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innova…
174.23 2025-06-02 08:00:00
  • Izdevējs
  • Gads: 2011
  • Lapas: 296
  • ISBN-10 : 1591401763
  • ISBN-13 : 9781591401766
  • Formāts: 18.3 x 26.6 x 2.2 cm, kieti viršeliai
  • Valoda: Anglų
  • Extra -10% atlaide, ievadot kodu: EXTRA7d.02:49:03

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Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in forecasting using neural networks. This provides for researchers and practitioners some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.

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Forecasting is one of the most important activities that form the basis for strategic, tactical, and operational decisions in all business organizations. Recently, neural networks have emerged as an important tool for business forecasting. There are considerable interests and applications in forecasting using neural networks. This provides for researchers and practitioners some recent advances in applying neural networks to business forecasting. A number of case studies demonstrating the innovative or successful applications of neural networks to many areas of business as well as methods to improve neural network forecasting performance are presented.

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