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 language | American English |
|---|---|
| Journal | Intelligent Engineering Systems Through Artificial Neural Networks |
| State | Published - Jan 1 2003 |
Keywords
- Evolutionary Computation
- Neural Networks
Disciplines
- Electrical and Computer Engineering
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