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Artificial Neural Network

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Mapping Biological Systems to Network Systems

Abstract

Study of artificial neural network (ANN) is a branch of machine learning and data mining. They are a group of measurable learning models inspired by biological neural networks, i.e., brain. The system is utilized to gauge or estimate capacities that can rely upon a substantial number of inputs which are obscure. ANNs are for the most part introduced as frameworks of interconnected “neurons” which trade messages between one another. The associations 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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Authors and Affiliations

  1. Indian Institute of Technology, Jodhpur, India

    Heena Rathore

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  1. Heena Rathore
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Correspondence to Heena Rathore .

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Rathore, H. (2016). Artificial Neural Network. In: Mapping Biological Systems to Network Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-29782-8_7

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  • DOI: https://doi.org/10.1007/978-3-319-29782-8_7

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