Abstract
Artificial Neural Networks (ANN) is an important data processing
algorithm for students, researches, scientist, mathematicians, academicians and
engineers which is inspired by human brain and human brain’s learning methods.
Complex nature and mathematical structures of ANN makes it difficult to learn.
Due to this reason, new methods have to be employed to teach ANN. In this
study, we design and develop web based educational software which combines
advantages of examined works to teach artificial neural networks with the
support of multimedia course content. In addition, relevant studies such as
Neuro-Lab, EasyLearnNN, NeuroFuzz and related most popular professional
commercial tools such as MATLAB, Statistica, Mathematica, NeuroSolutions, JOONE
are also examined. Developed software will help researchers from students to
scientist to train, test an ANN model and understand fundamentals of ANN.
References
- Sağıroğlu, Ş., Beşdok, E.,Erler, M., 2003. Mühendislikte Yapay Zeka Uygulamaları - I Yapay Sinir Ağları. Ufuk Yayınevi, 426s, Kayseri. Haykin, S., 1999. Neural Networks: A comprehensive foundation. Prentica-Hall, 768p, New Jersey. Blanton, H., 1997. An introduction to neural networks for technicians, engineers and other non PhDs. 9-12 November, Proceedings of the 1997 Artificial Neural Networks in Engineering Conference. St. Louis. Fulcher, J., 1992. Experience with teaching a graduate neural networks course. Computer Science Education, 297-314. Fulcher, J., 1998. Laboratory support for the teaching of neural networks. International Journal of Electrical Engineering Education, 29-36 Rosello, E., Perez-Schofield, J. B., Dacosta, J., Perez-Cota, M., 2003. Neuro-Lab: A Highly Reusable Software-Based Enviroment to Teach Artifical Neural Networks. Computer Applications in Engineering Education, 11(2), 93- 102. Manic, M., Wilamowski, B., Malinowski, A., 2002. Internet based neural network online simulation tool. Industrial Electronics Society, IEEE 2002 28th Annual Conference, 5-8 November, Sevilla, 2870-2874. Uğur, A., Kınacı, A., 2010. A web-based tool for teaching neural network concepts. Computers Applications in Engineering Education, 18 (3), 449- 457. Deperlioğlu, Ö., Köse, U., 2011. An educational tool for artificial neural networks. Computers and Electrical Enginnering, 37, 392-402.
Abstract
References
- Sağıroğlu, Ş., Beşdok, E.,Erler, M., 2003. Mühendislikte Yapay Zeka Uygulamaları - I Yapay Sinir Ağları. Ufuk Yayınevi, 426s, Kayseri. Haykin, S., 1999. Neural Networks: A comprehensive foundation. Prentica-Hall, 768p, New Jersey. Blanton, H., 1997. An introduction to neural networks for technicians, engineers and other non PhDs. 9-12 November, Proceedings of the 1997 Artificial Neural Networks in Engineering Conference. St. Louis. Fulcher, J., 1992. Experience with teaching a graduate neural networks course. Computer Science Education, 297-314. Fulcher, J., 1998. Laboratory support for the teaching of neural networks. International Journal of Electrical Engineering Education, 29-36 Rosello, E., Perez-Schofield, J. B., Dacosta, J., Perez-Cota, M., 2003. Neuro-Lab: A Highly Reusable Software-Based Enviroment to Teach Artifical Neural Networks. Computer Applications in Engineering Education, 11(2), 93- 102. Manic, M., Wilamowski, B., Malinowski, A., 2002. Internet based neural network online simulation tool. Industrial Electronics Society, IEEE 2002 28th Annual Conference, 5-8 November, Sevilla, 2870-2874. Uğur, A., Kınacı, A., 2010. A web-based tool for teaching neural network concepts. Computers Applications in Engineering Education, 18 (3), 449- 457. Deperlioğlu, Ö., Köse, U., 2011. An educational tool for artificial neural networks. Computers and Electrical Enginnering, 37, 392-402.
Details
| Journal Section | Articles |
|---|---|
| Authors | |
| Publication Date | September 1, 2014 |
| Published in Issue | Year 2014 Volume: 1 |
