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M Zarlis
Department of Mathematics, Universitas Sumatera Utara, Indonesia
Computer Science & IT Electrical & Electronics Engineering

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Neuron Model for Input Uncertainty Zulfian Azmi; Erna B N; Herman Mawengkang; M Zarlis
Journal of Telematics and Informatics Vol 6, No 2: June 2018
Publisher : Universitas Islam Sultan Agung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12928/jti.v6i2.

Abstract

The application of the Neuron Network model has not given optimal results on learning with input values ​​that are not binary, uncertain and varied. Variable inputs are not only 1 and 0 but allow between 0 and 1. and linguistic input and output and non-linear models. And the verification process for reviewing feasibility is reviewed from network, unit, behavior and procedural aspects. Further validation is done on the control module of the waterwheel rotation with dissolved oxygen input, water pH, salinity and water temperature varies. With such neuron models being the solution to varied and uncertain neuron models. The simulation is done withMatrix Laboratory software. Keywords: Neuron, Uncertainty, Waterwheel.
Co-Authors Erna B N Herman Mawengkang Zulfian Azmi