Filters
Improving Neural Network Approximations in Applications: Case Study in Materials Science
approximation capability. This paper concerns its theoretical principles, together on this capability. Then, the possibility to exploit this influence in order to improve the approximation capability of m...
IN - Informatika
- 2009 •
- Jx
Rok uplatnění
Jx - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)
Comparsion of FPNNs models approximation capabilities and resources utilization
The paper deals with comparsion of FPNNs models approximation capabilities and their FPGA resources utilization.
Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
- 2016 •
- D
Rok uplatnění
D - Stať ve sborníku
Kernel Networks for Function Approximation
Capabilities of radial convolution kernel networks to approximate multivariate functions are investigated. A necessary condition for universal approximation property of convolution kernel networks is given. Kernels that sat...
IN - Informatika
- 2016 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Comparison of FPNNs Models Approximation Capabilities and FPGA Resources Utilization
. The results of experiments determining the approximation capabilities of FPNNsThis paper presents the concepts of FPNA and FPNN, used for the approximation of artificial neural networks in FPGAs and introduces derived typ...
Computer hardware and architecture
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Comparison of Approximation Capabilities of Neural Networks and Linear Models
Using method from nonlinear approximation and integral representations tailored to computational units, we describe some cases when neural networks outperform any linear approximator....
IN - Informatika
- 2010 •
- D
Rok uplatnění
D - Stať ve sborníku
Approximation Capabilities of Chain Architectures.
Annotation not available...
BD - Teorie informace
- 1995 •
- D
Rok uplatnění
D - Stať ve sborníku
Approximation accuracy of different FPNN types
The paper deals with comparsion of FPNNs models approximation capabilities and their FPGA resources utilization.
Computer hardware and architecture
- 2017 •
- D •
- Link
Rok uplatnění
D - Stať ve sborníku
Výsledek na webu
Approximation of Functions by Neural Networks.
Theory of approximation is tryinng to describe classes of functions with low complexity with respect to various types of networks and measures of their complexity and to compare capabilities of neural networks with requirements of o...
BA - Obecná matematika
- 2003 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Universal Approximators.
This article surveys recent developments in the mathematical theory of feedforward networks and includes proofs of the universal approximation capabilities of rates of approximation and description of sets of multivariable ...
BA - Obecná matematika
- 2002 •
- C
Rok uplatnění
C - Kapitola v odborné knize
Universality and Complexity of Approximation of Multivariable Functions by Feedforward Networks.
A theoretical framework for investigation of approximation capabilities of feed-forward networks is presented in the context of nonlinear approximation theory. Some recent results of universal approximation propert...
BA - Obecná matematika
- 2002 •
- D
Rok uplatnění
D - Stať ve sborníku
- 1 - 10 out of 37 932