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Springer Advances in Neural Computation and Machine Learning

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Description

Explore the latest developments in artificial intelligence with this comprehensive collection of research. This volume presents new theories and practical applications of artificial neural networks, focusing on the vital connection between neural computation, cognitive science, and machine learning. Derived from selected papers at the XIX International Conference on Neuroinformatics, this book covers a wide range of research at the intersection of multiple scientific fields. Readers will find detailed discussions on topics including cognition, behavior, motivation, and emotions, alongside technical advancements in neurocomputing and deep learning. Whether you are investigating classification and clustering methods or looking into signal processing, robotics, and neurobionics, this text provides a deep look into the current state of the field. It also addresses essential developments in computer vision, making it a valuable resource for those studying the complex relationship between computational models and biological processes.

Key Features

Covers advanced theories and practical applications of artificial neural networks for researchers and students.

Includes selected research papers from the XIX International Conference on Neuroinformatics.

Explores the intersection of cognitive science, behavior, motivation, and emotions with machine learning.

Provides technical insights into neurocomputing, deep learning, classification, and clustering methods.

Discusses diverse applications including signal processing, robotics, neurobionics, and computer vision.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
12 May 2018
Listed Since
15 November 2018

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No barcode data available

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