Multi-Valued Neuron with a periodic activation function - learning with negative examples

Author

Lupea, V.M. ; Cernazanu-Glavan, Cosmin

Author_Institution

Dept. of Comput. Sci., Politeh. Univ., Timisoara, Romania

fYear

2014

fDate

15-17 May 2014

Firstpage

237

Lastpage

241

Abstract

The efficiency of Multi-Value Neuron and Multi-value Neuron with a periodic activation function are well presented in literature. Using these types of neurons, highly non-linear problems can be solved using a single neuron and not a multi-layer Neural Network (NN). On the other hand, using negative example during learning was shown to increase the overall efficiency. This paper brings these concepts together.

Keywords

learning (artificial intelligence); neural nets; transfer functions; learning; multivalued neuron; negative example; nonlinear problems; periodic activation function; single neuron; Artificial neural networks; Computational intelligence; Encoding; Iris; Neurons; Testing; Training; Multi-Valued Neuron (MVN); classifier; l-periodic; negative example; periodic activation function;

fLanguage

English

Publisher

ieee

Conference_Titel

Applied Computational Intelligence and Informatics (SACI), 2014 IEEE 9th International Symposium on

Conference_Location

Timisoara

Type

conf

DOI

10.1109/SACI.2014.6840067

Filename

6840067

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=162335