CIRP Encyclopedia of Production Engineering

2014 Edition
| Editors: The International Academy for Production Engineering, Luc Laperrière, Gunther Reinhart

Neural Network

Reference work entry



An artificial neural network (ANN), usually called neural network (NN), is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes information using a connectionist approach to computation. In most cases, an ANN is an adaptive system that changes its structure based on external or internal information that flows through the network during the learning phase. Modern neural networks are nonlinear statistical data modeling tools. They are usually used to model complex relationships between inputs and outputs or to find patterns in data.

Extended Definition

The term neural network was traditionally used to refer to a network or circuit of biological neurons (Hopfield 1982). Modern usage of the term often refers to artificial neural networks, which are...
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  1. Balabin RM, Lomakina EI (2009) Neural network approach to quantum-chemistry data: accurate prediction of density functional theory energies. J Chem Phys 131(7):074104CrossRefGoogle Scholar
  2. Hopfield JJ (1982) Neural networks and physical systems with emergent collective computational abilities. Proc NatL Acad Sci USA 79:2554–2558, April 1982 BiophysicsCrossRefMathSciNetGoogle Scholar
  3. Siegelmann HT, Sontag ED (1991) Turing computability with neural nets. Appl Math Lett 4(6):77–80CrossRefMathSciNetMATHGoogle Scholar

Copyright information

© CIRP 2014

Authors and Affiliations

  1. 1.Department of Chemical, Materials and Production EngineeringUniversity of Naples Federico IINaplesItaly