Birjand University

Displaying 1-2 of 2 results

  • White Papers // Dec 2010

    A Novel Approach to Fault Classification and Fault Location for Medium Voltage Cables Based on Artificial Neural Network

    A novel application of neural network approach to fault classification and fault location of Medium voltage cables is demonstrated in this paper. Different faults on a protected cable should be classified and located correctly. This paper presents the use of neural networks as a pattern classifier algorithm to perform these...

    Provided By Birjand University

  • White Papers // Jun 2009

    Data Mining Using Learning Automata

    In this paper a data miner based on the learning automata is proposed and is called LA-miner. The LA-miner extracts classification rules from data sets automatically. The proposed algorithm is established based on the function optimization using learning automata. The experimental results on three benchmarks indicate that the performance of...

    Provided By Birjand University

  • White Papers // Dec 2010

    A Novel Approach to Fault Classification and Fault Location for Medium Voltage Cables Based on Artificial Neural Network

    A novel application of neural network approach to fault classification and fault location of Medium voltage cables is demonstrated in this paper. Different faults on a protected cable should be classified and located correctly. This paper presents the use of neural networks as a pattern classifier algorithm to perform these...

    Provided By Birjand University

  • White Papers // Jun 2009

    Data Mining Using Learning Automata

    In this paper a data miner based on the learning automata is proposed and is called LA-miner. The LA-miner extracts classification rules from data sets automatically. The proposed algorithm is established based on the function optimization using learning automata. The experimental results on three benchmarks indicate that the performance of...

    Provided By Birjand University