Neural Network Applications contains the 12 papers presented at the
second British Neural Network Society Meeting (NCM '91) held at King's
College London on 1st October 1991. The meeting was sponsored by the
Centre for Neural Networks, King's College, and the British Neural
Network Society, and was also part of the DEANNA ESPRIT programme. The
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 actual topics covered are:
Learning algorithms - theory and practice; A review of medical
diagnostic applications of neural networks; Simulated ultrasound
tomographic imaging of defects; Linear quadtrees for neural network
based position invariant pattern recognition; The pRTAM as a
hardware-realisable neuron; The cognitive modalities ("CM") system of
knowledge representation - the DNA of neural networks? This volume
provides valuable reading for all those attempting to apply neural
networks, as well as those entering the field, including researchers and
postgraduate students in computational neuroscience, neurobiology,
electrical engineering, computer science, mathematics, and medicine.
