@inproceedings{293b4d58fe754f74a00ace01e28a1d27,
title = "Designing steps and simulation results of a pulse classification system for the Electro Chemical Discharge Machining (ECDM) process - an artificial neural network approach",
abstract = "This paper presents the designing steps and simulation results of a pulse classification system for the ECDM process using artificial neural networks (ANN). An Electro Discharge Machining (EDM) machine was modified by incorporating an electrolyte system and by modifying the control system. Gap voltage and working current waveforms were obtained. By observing the waveforms, pulses were classified into five groups. A feed forward neural network was trained to classify pulses. Various neural network architectures were considered by changing the number of neurons in the hidden layer. The trained neural networks were simulated. A quantitative analysis was performed to evaluate various neural network architectures.",
keywords = "signal, algorithm, algorithms, bioinformatics, classification, complexity, evolution, evolutionary computation, genetic algorithm, kernel, layout, neural network, optimization, robot, robotics",
author = "T.K.K.R. Mediliyegedara and {De Silva}, {A. K.M.} and Harrison, {D. K.} and McGeough, {J. A.} and D. Hepburn",
year = "2006",
month = apr,
day = "13",
doi = "10.1007/3-540-31662-0_27",
language = "English",
isbn = "9783540316497",
series = "Advances in Soft Computing",
publisher = "Springer Nature",
pages = "343--352",
editor = "Ajith Abraham and Bernard Baets and Mario Koeppen and Bertram Nickolay",
booktitle = "Applied Soft Computing Technologies: The Challenge of Complexity",
address = "United States",
}