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Use of MATLAB Neural Networks Toolbox in a character recognition problem
Author(s) -
Trebar Mira
Publication year - 2005
Publication title -
computer applications in engineering education
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.478
H-Index - 29
eISSN - 1099-0542
pISSN - 1061-3773
DOI - 10.1002/cae.20031
Subject(s) - toolbox , artificial neural network , computer science , matlab , character (mathematics) , software , artificial intelligence , time delay neural network , machine learning , simple (philosophy) , programming language , geometry , mathematics , philosophy , epistemology
We present the use of the MATLAB Neural Network Toolbox (NN Toolbox) in simulations of neural networks. We suggest ways for undergraduate students to solve a character recognition problem with feed‐forward neural networks. The software provides the user with a very simple way to define several neural network architectures with different parameters. The solution of the character recognition problem is described from the beginning: collecting the data, data encoding, defining the input‐output mapping architecture to the training, and testing the neural networks with the NN Toolbox. © 2005 Wiley Periodicals, Inc. Comput Appl Eng Educ 13: 66–71, 2005; Published online in Wiley InterScience (www.interscience.wiley.com); DOI 10.1002/cae.20031