Pattern Recognition by Self-Organizing Neural Networks presents the most recent advances in an area of research that is becoming vitally important in the fields of cognitive science, neuroscience, artificial intelligence, and neural networks in general.
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Pattern Recognition by Self-Organizing Neural Networks presents the most recent advances in an area of research that is becoming vitally important in the fields of cognitive science, neuroscience, artificial intelligence, and neural networks in general.
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Seller's Description:
This is an ex-library book and may have the usual library/used-book markings inside. This book has hardback covers. In fair condition, suitable as a study copy. Dust jacket in fair condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 1750grams, ISBN: 0262031760.
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Seller's Description:
Rubbed. Some binding scratches. Good. 26x18cm, (14), 691 pp. Contains 20 papers. Includes: Neural Network Models for Pattern Recognition & Associative Memory; Nonlinear Neural Networks: Principles, Mechanisms & Architectures; Neural Pattern Discrimination; Neural Expectation: Cerebellar & Retinal Analogs of Cells Fired by Learnable or Unlearned Pattern Classes; Self-Organization of Orientation Sensitive Cells in the Striate Cortex; Adaptive Pattern Classification & Universal Recoding: Parallel Development & Coding of Neural Feature Detectors; The " Neural" Phonetic Typewriter; Counterpropagation Networks; Adaptive Pattern Classification & Universal Recoding: Feedback; Expectation; Olfaction & Illusions; A Massively Parallel Architecture for a Self-Organizing Neural Pattern Recognition Machine; Variations on Adaptive Resonance; ART 2: Self-Organization of Stable Category Recognition Codes for Analog Input Memories; Adaptive Bidirectional Associative Memories; Neuronal Activity as a Shaping Factor in the Self-Organization of Neuron Assemblies; Probing Cognitive Processes Through the Structure of Event-Related Potentials: An Experimental & Theoretical Analysis; Unitization, Automaticity, Temporal Order & Word Recognition; Speech Perception & Production by a Self-Organizing Neural Network; Neural Dynamics of Adaptive Timing & Temporal Discrimination During Associative Learning; etc.