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42 488 (0,197s)

Result

Estimation of Statistical Parameters of the Digital Signal Using Artificial Neural Networks

of training NN with Radial Basic Function and Feedforward neural network. In the case of Feedforward networks, several activation functions will be used. Then the results of training of all neural

JA - Elektronika a optoelektronika, elektrotechnika

  • 2015
  • D
  • Link
Result

Forecasting Inflation in Small Open Economies

Main topics of the document: VAR; FAVAR; feedforward neural network; inflation...

Statistics and probability

  • 2019
  • D
  • Link
Result

Feedforward Neural Networks -- Architecture Optimization and Knowledge Extraction

The paper provides a survey and comparison of existing techniques that optimize architecture of BP-networks.

BD - Teorie informace

  • 2008
  • D
Result

Implementation of Kolmogorov Learning Algorithm for Feedforward Neural Networks.

We present a learning algorithm for feedforward neural networks that is based on Kolmogorov theorem concerning composition of n-dimensional countinuous function from one-dimensional continuous functions. A through analysis ...

BA - Obecná matematika

  • 2001
  • D
Result

The Application of Structured Feedforward Neural Networks to the Modelling of the Daily Series of Currency in Circulation

The paper introduces feedforward structured neural network model and discusses its applicability to the forecasting of the currency in circulation. The forecasting performance of the new neural network mod...

BA - Obecná matematika

  • 2005
  • D
Result

Accuracy of surrogate solutions of integral equations by feedforward networks

Surrogate solutions of Fredholm integral equations by feedforward neural networks are investigated theoretically. Convergence of surrogate solutions computable by networks with increasing numbers of computational u...

IN - Informatika

  • 2014
  • C
  • Link
Result

Artificial Neural Network - basic theory and application (5)

This paper presents and architecture of the feedforward artificial multilayerwed neural network. The general concepts as the input layer, the hidden layer, the output layer, the learning and the testing set etc. are explain...

JD - Využití počítačů, robotika a její aplikace

  • 2006
  • Jx
Result

NONLINEAR MODELING OF LABORATORY MODEL AMIRA DR300 BY FEEDFORWARD NEURAL NETWORK

Purpose of this paper is to design a nonlinear feedforward neural network model of a laboratory model AMIRA DR300 (made by AMIRA, Duisburg, Germany). This device consists of two direct-current engines, whose shafts are conn...

BC - Teorie a systémy řízení

  • 2011
  • D
Result

Steganography content detection by means of feedforward neural network

This paper describes the technique for revealing of steganography content in images by means of feedforward neural network. The work is connected with cryptography for information encoding and additional method for informat...

IN - Informatika

  • 2013
  • Jx
  • Link
Result

An orthogonal neural network for nonlinear function modelling

The paper is dealing with the multilayer feedforward network...

JC - Počítačový hardware a software

  • 2007
  • Jx
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