Neural Network Applications

These papers reflect the wide spectrum of neural network applications that are currently being attempted in industry and medicine. They cover medical diagnosis, robotics, plant control, machine learning, and visual inspection, as well as more general discussions on net learning and knowledge representation. The breadth and depth of coverage is a sign of the health of the subject, as well as indicating the importance of neural network developments in industry and the manner in which the applications are progressing. Among the topics covered are learning algorithms - theory and practice; a review of medical diagnostic applications of neural networks; simulated ultrasound tomographic imaging of defects; linear quad-trees for neural network based position invariant pattern recognition; the pRTAM as a hardware-realizable neuron; and the cognitive modalities ("CM") system of knowledge representation.