by Lakhmi C. Jain; N.M. Martin CRC Press, CRC Press LLC
ISBN: 0849398045 Pub Date: 11/01/98
Artificial neural networks are being applied to a wide variety of automation problems including adaptive control, optimization, medical diagnosis, decision making, as well as information and signal processing, including speech processing. ANNs have proven to be very suitable for processing sensor data, in particular, feature extraction and automated recognition of signals and multi-dimensional objects. Pattern recognition has, however, emerged as a major application because the network structure is suited to tasks that biological systems perform well, and pattern recognition is a good example where biological systems out-perform traditional rule-based artificial intelligence approaches.