Software Toolkit For Designing An Artificial Neural Network.

Ahmad, M. A. and Saleh, J Mohamad (2004) Software Toolkit For Designing An Artificial Neural Network. In: 1st National Postgraduate Colloquium, 2004, School of Chemical Engineering, USM .

[img]
Preview
PDF
Download (2482Kb) | Preview

    Abstract

    Basically, there are two kinds of artificial neural network (ANN), which can be classified into supervised and unsupervised. Commonly, supervised neural networks are trained or weights adjusted, so that a particular input leads to a specific target output. Generally, the supervised training methods are commonly used in solving most problems. An ANN can be designed, trained, validated and tested by means of the Neural Network Toolbox in Matlab.

    Item Type: Conference or Workshop Item (Paper)
    Subjects: T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering
    Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering)
    Depositing User: ARKM Al Rashid Automasi
    Date Deposited: 07 May 2009 16:18
    Last Modified: 13 Jul 2013 12:14
    URI: http://eprints.usm.my/id/eprint/9799

    Actions (login required)

    View Item
    Share