Wednesday, April 16, 2014

 

 



Soy un nuevo usuario

Olvidé mi contraseña

Entrada usuarios

Lógica Matemáticas Astronomía y Astrofísica Física Química Ciencias de la Vida
Ciencias de la Tierra y Espacio Ciencias Agrarias Ciencias Médicas Ciencias Tecnológicas Antropología Demografía
Ciencias Económicas Geografía Historia Ciencias Jurídicas y Derecho Lingüística Pedagogía
Ciencia Política Psicología Artes y Letras Sociología Ética Filosofía


Neural computation of arithmetic functions

1) La descarga del recurso depende de la página de origen
2) Para poder descargar el recurso, es necesario ser usuario
    registrado en Universia

  Descargar recurso   Descargar recurso

Detalles del recurso

Pertenece a: Caltech Authors  

Descripción: A neuron is modeled as a linear threshold gate, and the network architecture considered is the layered feedforward network. It is shown how common arithmetic functions such as multiplication and sorting can be efficiently computed in a shallow neural network. Some known results are improved by showing that the product of two n-bit numbers and sorting of n n-bit numbers can be computed by a polynomial-size neural network using only four and five unit delays, respectively. Moreover, the weights of each threshold element in the neural networks require O(log n)-bit (instead of n -bit) accuracy. These results can be extended to more complicated functions such as multiple products, division, rational functions, and approximation of analytic functions.

Autor(es): Siu, Kai -  Yeung -  Bruck, Jehoshua - 

Id.: 55239732

Versión: 1.0

Estado: Final

Tipo:  application/pdf -  image/png - 

Tipo de recurso: Article  -  PeerReviewed  - 

Tipo de Interactividad: Expositivo

Nivel de Interactividad: muy bajo

Audiencia: Estudiante  -  Profesor  -  Autor  - 

Estructura: Atomic

Coste: no

Copyright: sí

Formatos:  application/pdf -  image/png - 

Requerimientos técnicos:  Browser: Any - 

Relación: [References] http://resolver.caltech.edu/CaltechAUTHORS:20120503-090033553
[References] http://authors.library.caltech.edu/31288/

Fecha de contribución: 27-dic-2012

Contacto:

Localización:
* Siu, Kai-Yeung and Bruck, Jehoshua (1990) Neural computation of arithmetic functions. Proceedings of the IEEE, 78 (10). pp. 1669-1675. ISSN 0018-9219 http://resolver.caltech.edu/CaltechAUTHORS:20120503-090033553


Otros recursos de la misma colección

  1. Homogeneous vs heterogeneous subduction zone models: Coseismic and postseismic deformation A finite-element model (FEM) incorporating geologic properties characteristic of a subduction zone i...
  2. Slip kinematics and dynamics during and after the 1995 October 9 M_w=8.0 Colima–Jalisco earthquake, Mexico, from GPS geodetic constraints We use horizontal and vertical crustal displacements derived from GPS measurements at 26 sites in we...
  3. Lead concentrations in the northeast Pacific: evidence for global anthropogenic perturbations Lead concentrations were determined by isotope dilution mass spectrometry in 34 surface- and deep-wa...
  4. Winter Frost at Viking Lander 2 Site A key question in the study of Mars is water exchange between atmosphere and surface on daily, seaso...
  5. Postseismic Rebound in Fault Step-Overs Caused by Pore Fluid Flow Near-field strain induced by large crustal earthquakes results in changes in pore fluid pressure tha...

Valoración de los usuarios

No hay ninguna valoración para este recurso.Sea el primero en valorar este recurso.
 

Busque un recurso