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42 351 (0,214s)

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PRINCIPLE OF TRAINING ARTIFICIAL NEURAL NETWORKS USING BACKPROPAGATION ALGORITHM

This paper describes learning process of artificial multi-layer neural network using backpropagation algorithm. To illustrate this process the three layer artificial neural network with two inputs, one hid...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2007
  • D
Result

Neural Networks in Identification

This paper examines the possibility of using neural networks in the area of continuous identification of parameters of a dynamic system model. It focuses on the two most frequently used methods for network learning, the

BC - Teorie a systémy řízení

  • 2003
  • D
Result

Identification of Dynamic Systems by Neural Network

This work examines the possibility of using neural networks in the area of continuous identification of parameters of a dynamic system model. It focuses on the two most frequently used methods for network learning, the ...

JB - Senzory, čidla, měření a regulace

  • 2003
  • D
Result

Prediction of the Electric Energy System State with the Help of Artificial Neural Networks

Worthiness of neural networks application for prediction of emergency states in utility networks is proved on the basis of theoretical analysis and its experimental verification. Neural networks appeared t...

BB - Aplikovaná statistika, operační výzkum

  • 2006
  • D
Result

Library for artificial neural networks in C#

Library for creation of artificial neural networks in C#. Library supports Hopfield nets, Kohonen nets, feedforward networks, several learning techniques (differential evolution, backpropagation, quick propagation,...

IN - Informatika

  • 2011
  • R
Result

A Muscle Forces Prediction using Learning Artificial Neural Network

A mathematical model (the backpropagation neural network) was used to calculation of muscle forces about elbow actuators. In conclusion were discussed neural network posibilities, for prediction of muscle ...

BO - Biofyzika

  • 2004
  • A
Result

Neural Model of Dipole Antenna - Genetic Algorithm for Training Artificial Neural Networks with Backpropagation

and an approach to learning artificial neural networks (ANN) with backpropagation is described. Neural networks are implemented in MATLAB. Results of training abilities are comparedThe paper deals with tr...

JA - Elektronika a optoelektronika, elektrotechnika

  • 2005
  • D
Result

Elliott Waves Classification Via Softcomputing

with backpropagation neural networks. Forms of activation functions of neurons in the hidden evolution. The adaptation of the proposed neural network was performed by a standard backpropagation r...

IN - Informatika

  • 2013
  • D
Result

Neural networks and their application in ECG

We show on an example from medical diagnosis that some problems can be solved using simple neural networks. First we define some basic notions from neural network theory. We mention also some basic facts about elec...

BA - Obecná matematika

  • 2005
  • Jx
Result

Dynamic Robot Control Based on the Neural Network

The problem is to design a neural network and adapt it by adequate algorithm for driving a robot. By a robot we mean a moving vehicle such that it moves within a chosen corridor with a constant speed. We propose feed-forward neu...

BA - Obecná matematika

  • 2006
  • D
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