Proceedings of the Winter, 1990, International Joint Conference on Neural Networks

This two-volume set contains the complete proceedings of the 1990 International Joint Conference on Neural Networks, with research results, applications, and products from over 2,000 researchers and application developers worldwide. It is an invaluable reference for researchers and practitioners of neuroscience.

Format: Paperback / softback
Length: 2 pages
Publication date: 18 December 2020
Publisher: Taylor & Francis Ltd

This comprehensive two-volume set presents the complete proceedings of the 1990 International Joint Conference on Neural Networks, held in Washington, D.C. With comprehensive subject, author, and title indices, it serves as an invaluable reference to the cutting-edge advancements in neural networks. Spanning over 2,000 researchers and application developers from diverse corners of the globe, this volume encompasses the latest research findings, practical applications, and innovative products. It is an essential resource for both researchers and practitioners in the field of neuroscience, offering a diverse range of topics covered in eight distinct sections:

Neural and Cognitive Sciences: This section explores the fundamental principles and theories of neural networks, cognitive science, and their interdisciplinary connections. It encompasses research on brain function, perception, learning, and decision-making processes.

Pattern Recognition and Analysis of Network Dynamics: This section focuses on developing algorithms and techniques for analyzing and interpreting network dynamics, including time-series data, spatial data, and complex networks. It explores methods for pattern recognition, classification, and prediction in various domains.

Learning Theory: This section delves into the principles and algorithms of machine learning, including supervised, unsupervised, and reinforcement learning. It explores techniques for training neural networks to perform tasks such as image recognition, speech recognition, and natural language processing.

Plenary Lecture by Bernard Widrow: This section presents a plenary lecture delivered by Bernard Widrow, a renowned neuroscientist and pioneer in the field of neural networks. The lecture provides insights into the historical development, current trends, and future directions of neural networks.

Special Lectures on Self-Organizing Neural Architectures: This section highlights the emerging field of self-organizing neural architectures, which involves the development of neural networks that learn and adapt to their environment without explicit programming. It explores the principles and applications of these architectures in various domains.

Application Systems and Network Implementations: This section explores the practical implementation of neural networks in various application domains, such as robotics, speech recognition, signal processing, and vision. It discusses the design, optimization, and performance of neural network systems for real-world applications.

Robotics, Speech, Signal Processing, and Vision: This section focuses on the application of neural networks in specific areas such as robotics, speech recognition, signal processing, and vision. It explores the development of neural networks for tasks such as object detection, speech synthesis, image processing, and autonomous navigation.

Expert Systems and Other Real-World Applications: This section explores the use of neural networks in expert systems, decision-making systems, and other real-world applications. It discusses the development of neural networks for solving complex problems, making predictions, and providing decision support.

In conclusion, this two-volume set serves as a vital resource for researchers, practitioners, and students interested in neural networks and their applications. It provides a comprehensive overview of the current state-of-the-art in neural networks, covering a wide range of topics and highlighting the latest research results, practical applications, and innovative products. With its extensive subject, author, and title indices, it facilitates easy access to the information and serves as a valuable reference for future research and development in this field.

Dimension: 279 x 216 (mm)
ISBN-13: 9781138882775