Artificial Neural Networks in Finance & Manufacturing by Joarder Kamruzzaman
About Course
Two of the most important factors contributing to national and international economy are processing of information for accurate financial forecasting. And decision making as well as processing of information for efficient control of manufacturing systems for increased productivity. The associated problems are very complex and conventional methods often fail to produce acceptable solutions. Moreover, businesses and industries always look for superior solutions to boost profitability and productivity.
In recent times, artificial neural networks have demonstrated promising results in solving many real-world problems in these domains, and these techniques are increasingly gaining business. And industry acceptance among the practitioners. “Artificial Neural Networks in Finance and Manufacturing” presents many state-of-the-art and diverse applications to finance. And manufacturing, along with underlying neural network theories and architectures. It offers researchers and practitioners the opportunity to access exciting and cutting-edge research focusing on neural network applications, combining two aspects of economic domain in a single and consolidated volume. Also
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The same course: M.Rusydi Marc Yor Rene M.Stulz Robert Cinnamon Srdjan Stojanovic Stephen G.Ryan Steve Dalton . Also Sumru Altug Suresh Sundaresan Thomas Fitch Tom Taulli Lidiya K Tom Taulli Peter Dunkart. Jo Dunning Brendon Burchard Bob Bly Alex Becker Alan Weiss Talmadge Harper . Also
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Course Features
- Lectures 0
- Quizzes 0
- Duration 50 hours
- Skill level All levels
- Language English
- Students 22
- Assessments Yes