Ebook: Neural Network Applications: Proceedings of the Second British Neural Network Society Meeting (NCM91), London, October 1991

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.

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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.

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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.
Content:
Front Matter....Pages ii-x
Learning Algorithms — theory and practice....Pages 1-11
A Generic Neural Network Approach For Constraint Satisfaction Problems....Pages 12-22
A Review of Medical Diagnostic Applications of Neural Networks....Pages 23-26
Data Representation And Generalisation In An Application Of a Feed-Forward Neural Net....Pages 27-40
Simulated Ultrasound Tomographic Imaging of Defects....Pages 41-57
An Apple Sorting System using Neural Network-Based on Image Processing....Pages 58-62
Linear Quadtrees for Neural Network Based Position Invariant Pattern Recognition....Pages 63-100
Application of Neural Networks in Process Control....Pages 101-113
A Neural Network Approach to Tokamak Equilibrium Control....Pages 114-128
Neural Network Control of Robot Arm Tracking Movements....Pages 129-139
The pRAM as a hardware-realisable neuron....Pages 140-146
The Cognitive Modalities (“CM”) System of Knowledge Representation — the “DNA” of Neural Networks?....Pages 147-156
Back Matter....Pages 157-157

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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.
Content:
Front Matter....Pages ii-x
Learning Algorithms — theory and practice....Pages 1-11
A Generic Neural Network Approach For Constraint Satisfaction Problems....Pages 12-22
A Review of Medical Diagnostic Applications of Neural Networks....Pages 23-26
Data Representation And Generalisation In An Application Of a Feed-Forward Neural Net....Pages 27-40
Simulated Ultrasound Tomographic Imaging of Defects....Pages 41-57
An Apple Sorting System using Neural Network-Based on Image Processing....Pages 58-62
Linear Quadtrees for Neural Network Based Position Invariant Pattern Recognition....Pages 63-100
Application of Neural Networks in Process Control....Pages 101-113
A Neural Network Approach to Tokamak Equilibrium Control....Pages 114-128
Neural Network Control of Robot Arm Tracking Movements....Pages 129-139
The pRAM as a hardware-realisable neuron....Pages 140-146
The Cognitive Modalities (“CM”) System of Knowledge Representation — the “DNA” of Neural Networks?....Pages 147-156
Back Matter....Pages 157-157
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