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Introduction to Neural Computing
Introduction - Why neural nets? Principles and promises. The McCulloch and Pitts legacy. The hard learning problem. Making neurons. The secrets of Wisard. Multi-layer perceptrons. Dynamic networks.Expand
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WISARD·a radical step forward in image recognition
The WISARD recognition system invented at Brunei University has been developed into an industrialised product by Computer Recognition Systems under licence from the British Technology Group. UsingExpand
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Guide to pattern recognition using random-access memories
About 12 years of work with a specific type of learning pattern-recognition system are reviewed, together with case studies in a variety of fields. Expand
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The Study of Information: Interdisciplinary Messages
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Machine consciousness
The work from several laboratories on the modeling of consciousness is reviewed. Expand
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The logic of connectionist systems
A connectionist system is a cellular network of adaptable nodes that has a natural propensity for storing knowledge. Expand
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Impossible Minds: My Neurons, My Consciousness
Impossible Minds: My Neurons, My Consciousness has been written to satisfy the curiosity each and every one of us has about our own consciousness. It takes the view that the neurons in our heads areExpand
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Neural computing architectures: the design of brain-like machines
In four parts, chapters take up neural computing from the classical perspective, including both foundational and current work; the mathematical perspective (of logic, automata theory, and probability theory), presenting less well-known work in which the neuron is modeled as a logic truth function that can be implemented in a direct way as a silicon read only memory. Expand
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Thinking machines: The search for artificial intelligence
Designed for anyone with a general interest in science; students and researchers in computer studies, artificial intelligence, mathematics; psychologists and physiologists interested in attempts to make machines mimic brain function. Expand
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