caa a22 4500 475801172 CHVBK 20180406123737.0 cr unu---uuuuu 170329e20000401xx s 000 0 eng 10.1023/A:1009678528953 doi (NATIONALLICENCE)springer-10.1023/A:1009678528953 A Formal Model for Definition and Simulation of Generic Neural Networks [Elektronische Daten] [M. Atencia, G. Joya, F. Sandoval] This paper presents the definition of a formal data structure, which assists in the characterization of any neural paradigm, with no restriction, including higher-order networks. Within this model, a neural network is mathematically described by specifying some static parameters (number of neurons, order) as well as a set of statistical distributions (which we call the network ‘dynamics'). Once a concrete set of distributions is defined, a single algorithm can simulate any neural paradigm. The presented structure assists in an exhaustive and precise description of the network characteristics and the simulation parameters, providing us with a unified criterion for comparing models and evaluating proposed systems. Though not presented here, the formal model has inspired a software simulator, which implements any system defined according to this structure, thus facilitating the analysis and modelling of neuronal paradigms. Kluwer Academic Publishers, 2000 abstract data type nationallicence artificial neural networks nationallicence backpropagation nationallicence computer simulation nationallicence data structure nationallicence higher-order nationallicence Hopfield paradigm nationallicence system modelling nationallicence Atencia M. Departamento de Lenguajes y Ciencias de la Computación, E.T.S.I. Informática, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain aut Joya G. Departamento de Tecnología Electrónica, E.T.S.I. Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain aut Sandoval F. Departamento de Tecnología Electrónica, E.T.S.I. Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain aut Neural Processing Letters Kluwer Academic Publishers 11/2(2000-04-01), 87-105 1370-4621 11:2<87 2000 11 11063 https://doi.org/10.1023/A:1009678528953 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1009678528953 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Atencia M. Departamento de Lenguajes y Ciencias de la Computación, E.T.S.I. Informática, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain aut NATIONALLICENCE 700 1- Joya G. Departamento de Tecnología Electrónica, E.T.S.I. Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain aut NATIONALLICENCE 700 1- Sandoval F. Departamento de Tecnología Electrónica, E.T.S.I. Telecomunicación, Universidad de Málaga, Campus de Teatinos, 29071, Málaga, Spain aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers 11/2(2000-04-01), 87-105 1370-4621 11:2<87 2000 11 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer