There is an ever-increasing use of embedded systems; fast prototyping, time to market and severe implementation constraints must be faced to provide an effective - low cost - solution for a given application. To this end, several algorithmic formalisms are available to describe and validate complex systems at a behavioural level in order to minimise development costs and facilitate the integration of design and implementation constraints. Unfortunately, a soft-computing paradigm cannot be directly manipulated by conventional development environments for embedded systems unless an algorithmic description is available. In general, such a description is the result of a training procedure which, by following the selection of the most suitable soft-computing paradigm, configures it. The paper addresses the issues related to the integration of soft-computing paradigms within conventional development environments for embedded systems. The analysis is carried out at a behavioural abstraction level.
A methodology for example-based specification and design / C. Alippi, S. Ferrari, V. Piuri - In: Neural computing : new challenges and perspectives for the new millennium : proceedings of the IEEE-INNS-ENNS International joint conference on neural Networks, IJCNN 2000, Como, Italy, 24 - 27 July 2000 / [a cura di] Shun-Ichi Amari ... [et al.]. - Los Alamitos : IEEE Computer society, 2000. - ISBN 0769506194. - pp. 535-540 (( convegno IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN) tenutosi a Como nel 2000.
A methodology for example-based specification and design
S. FerrariSecondo
;V. PiuriUltimo
2000
Abstract
There is an ever-increasing use of embedded systems; fast prototyping, time to market and severe implementation constraints must be faced to provide an effective - low cost - solution for a given application. To this end, several algorithmic formalisms are available to describe and validate complex systems at a behavioural level in order to minimise development costs and facilitate the integration of design and implementation constraints. Unfortunately, a soft-computing paradigm cannot be directly manipulated by conventional development environments for embedded systems unless an algorithmic description is available. In general, such a description is the result of a training procedure which, by following the selection of the most suitable soft-computing paradigm, configures it. The paper addresses the issues related to the integration of soft-computing paradigms within conventional development environments for embedded systems. The analysis is carried out at a behavioural abstraction level.Pubblicazioni consigliate
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