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- robust approach to approximating real-valued, discrete-valued,
and vector-valued target functions
- for certain types of problems (complex real-world sensor data),
ANN are the most effective learning methods currently known
- learning to recognize handwritten characters, spoken words,or faces
- Inspiration: biological learning systems are built of very complex webs of
interconnected neurons
- ANNs are built of a densely interconnected set of simple units,
where each unit takes a number of real-valued inputs (possibly the
outputs of other units) and produces a single real-valued output
(which may become the input to many other units)
Patricia Riddle
Fri May 15 13:00:36 NZST 1998