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Fusion of Neural Networks Fuzzy Systems and Genetic Algorithms by Lakhmi C.Jain and N.M. Martin
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Fusion of Neural Networks Fuzzy Systems and Genetic Algorithms by Lakhmi C.Jain and N.M. Martin

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Fusion of Neural Networks Fuzzy Systems and Genetic Algorithms by Lakhmi C.Jain and N.M. Martin is digital courses, ebook, digital audio and DVD… not physical product. We will sent a download link lifetime to your email order. Or you can update your courses at “My Downloads“

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Fusion of Neural Networks Fuzzy Systems and Genetic Algorithms by Lakhmi C.Jain and N.M. Martin

Fusion of Neural Networks Fuzzy Systems and Genetic Algorithms by Lakhmi C.Jain and N.M. MartinFusion of Neural Networks Fuzzy Systems and Genetic Algorithms by Lakhmi C.Jain and N.M. Martin

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Forex Trading – Foreign Exchange Course

You want to learn about Forex?

Foreign exchange, or forex, is the conversion of one country’s currency into another.
In a free economy, a country’s currency is valued according to the laws of supply and demand.
In other words, a currency’s value can be pegged to another country’s currency, such as the U.S. dollar, or even to a basket of currencies.
A country’s currency value may also be set by the country’s government.
However, most countries float their currencies freely against those of other countries, which keeps them in constant fluctuation.

In a very limited sense, artificial neural networks can emulate the biological information-processing system. Fuzzy logic serves as a foundation for human thinking and serves as a means of representing uncertain and imperfect knowledge. Although neural networks show real potential in tackling issues, their design is still without a firm theoretical foundation.
The system architecture in Fusion of Neural Networks, Fuzzy Systems and Genetic Algorithms combines neural networks, fuzzy systems, and evolutionary computing to help readers manage complexity by offsetting the drawbacks of one paradigm with the advantages of another.
This book showcases particular applications of fusion technology. A new fuzzy-neural controller is designed at the beginning of each chapter. The remaining chapters go into the use of evolutionary computing, fuzzy control, neural networks, and expert systems in contemporary engineering systems. Among these particular uses are: direct frequency converters
Electohydraulic systems
Asynchronous Transfer Mode (ATM) communications networks; motor control; toaster control; speech recognition; vehicle routing; defect detection; and telephones for hearing-impaired individuals
aero-engine gas turbine control
design of telecommunications systems
Combining Neural Networks, Fuzzy Systems, and Genetic Algorithms covers a wide range of applications and fully illustrates the benefits of fusion approaches for use in commercial settings.

Salepage : Fusion of Neural Networks Fuzzy Systems and Genetic Algorithms by Lakhmi C.Jain and N.M. Martin

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