Abstract
In this work, we present a reusable software component library, called IMO.Net Artificial Neural Networks library, which encapsulates the functionality of the Matlab Neural Networks Toolbox (MNNT). The MNNT is a powerful tool to work with neural networks. However, MNNT has not been conceived as a reusable and integrable software piece, and its results are clearly inadequate to be used for development of applications. The component library presented in this paper is fully reusable, allowing the integration of the neural networks toolbox objects and functions in software applications, independently of the platform and tools used to build it. Furthermore, this library provides two different sets of classes to the programmers, one of them presenting an application program interface (API) similar to the Matlab toolbox, and the other a fully object-oriented designed API, which is easier to use and more adequate for object-oriented and rapid application development. This library combines the advantages of being fully reusable and internally employing the MNNT to perform the algorithmic task, consequently inheriting all its power, robustness and comprehensiveness, but without its reusability limitations.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
