Neural Network Programming in Python
Primož Podržaj
Primož Podržaj, Department of Mechanical Engineering, University of Ljubljana, Aškerčeva, Ljubljana, Slovenia.
Manuscript received on 08 April 2019 | Revised Manuscript received on 15 April 2019 | Manuscript Published on 26 July 2019 | PP: 373-377 | Volume-8 Issue-6S4 April 2019 | Retrieval Number: F10750486S419/19©BEIESP | DOI: 10.35940/ijitee.F1075.0486S419
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open-access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: In this paper a basic introduction to neural networks is made. An emphasis is given on a two layer perceptron used extensively for function approximation. The backpropagation learning rule is than briefly introduced. A short introduction into Python programming language is made and a program for the perceptron design is written and discussed in some detail. The “neurolab” library is used for this purpose.
Keywords: Neural Networks, Perceptron, Python.
Scope of the Article: Mechanical Maintenance