Skip to main navigation Skip to search Skip to main content

Database-driven Neural Networks and Evolutionary Computation

    Research output: Contribution to journalArticlepeer-review

    Abstract

    More complex problems call for more complex solutions, but these solutions require either more programmers to encode, or more time. More programmers have more difficulty coordinating and end up wasting effort. Spending more time means waiting longer before reaping any benefits, and, if taken to the extreme, can completely prevent a project from being finished, as regular turnover replaces those working on it as fast as new programmers can be brought up to speed. When development time is valuable enough to sacrifice speed in the finished application, an entirely new set of programming languages becomes viable. In particular, a neural network can be cast as a pattern of database queries to a simple set of tables. This approach yields safer programs sooner, but the programs run rather slowly.

    Original languageAmerican English
    JournalIntelligent Engineering Systems Through Artificial Neural Networks
    StatePublished - Jan 1 2003

    Keywords

    • Evolutionary Computation
    • Neural Networks

    Disciplines

    • Electrical and Computer Engineering

    Fingerprint

    Dive into the research topics of 'Database-driven Neural Networks and Evolutionary Computation'. Together they form a unique fingerprint.

    Cite this