Titlebook: Mapping Biological Systems to Network Systems; Heena Rathore Book 2016 Springer International Publishing Switzerland 2016 Bio-Inspired Mac

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Inceptive Findings,n of the analogies and understanding of the realistic biological behavior. This chapter deals with the structural and operational correlation between biological systems and network systems. Initially, it discusses how the network domain can be compared to biological systems. Later it discusses the models developed in this regard.

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Accrue

theta-waves

Artificial Neural Network,ns have numeric weights that can be tuned in view of experience, making neural networks versatile to inputs and fit for learning. The chapter provides details on the ANN and how these frameworks have tackled numerous issues for computer engineers.

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Genetic Algorithms,spread their hereditary material. This chapter provides details of how genetic algorithms work and the way they are used in computer networks for solving issues such as sensor networks, traveling salesman problem, etc.

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,Fuel Cell Systems for Rail Applications: Development?Trends and Challenges,y complete a daily schedule defined by the train operator. Improving the energy management for a particular train route can effectively reduce overall energy consumption. Furthermore, a majority of a fuel cell system’s waste heat can be utilized to heat the passenger compartment at low ambient tempe

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