Why Neural Nets?
- The autonomous local processing of each individual unit combines
with similar simple behavior of many other units to produce
"interesting," complex, global behavior.
- Intelligent behavior is an emergent phenomenon.
- Solving problems using a processing model that is similar
to the brain may lead to solutions to complex information processing
problems that would be difficult to achieve using traditional
symbolic approaches in AI.
- Associative memory access is directly represented. Hence
pattern-directed retrieval and matching operations are promoted.
- Robust computation because knowledge is distributed and
continuous rather than discrete or digital. Knowledge captured
in a large number of fine-grained units and can match noisy
and incomplete data.
- Fault tolerant architecture because computations can be organized
so as not to depend on a fixed set of units and connections.