This specific ISBN edition is currently not available.View all copies of this ISBN edition:
Complex-Valued Neural Networks have higher functionality, learn faster and generalize better than their real-valued counterparts.
This book is devoted to the Multi-Valued Neuron (MVN) and MVN-based neural networks. It contains a comprehensive observation of MVN theory, its learning, and applications. MVN is a complex-valued neuron whose inputs and output are located on the unit circle. Its activation function is a function only of argument (phase) of the weighted sum. MVN derivative-free learning is based on the error-correction rule. A single MVN can learn those input/output mappings that are non-linearly separable in the real domain. Such classical non-linearly separable problems as XOR and Parity n are the simplest that can be learned by a single MVN. Another important advantage of MVN is a proper treatment of the phase information.
These properties of MVN become even more remarkable when this neuron is used as a basic one in neural networks. The Multilayer Neural Network based on Multi-Valued Neurons (MLMVN) is an MVN-based feedforward neural network. Its backpropagation learning algorithm is derivative-free and based on the error-correction rule. It does not suffer from the local minima phenomenon. MLMVN outperforms many other machine learning techniques in terms of learning speed, network complexity and generalization capability when solving both benchmark and real-world classification and prediction problems. Another interesting application of MVN is its use as a basic neuron in multi-state associative memories.
The book is addressed to those readers who develop theoretical fundamentals of neural networks and use neural networks for solving various real-world problems. It should also be very suitable for Ph.D. and graduate students pursuing their degrees in computational intelligence.
"synopsis" may belong to another edition of this title.
Book Description Springer, 2011. Hardcover. Condition: New. 2011. Seller Inventory # DADAX3642203523
Book Description Springer, 2016. Paperback. Condition: New. PRINT ON DEMAND Book; New; Publication Year 2016; Not Signed; Fast Shipping from the UK. No. book. Seller Inventory # ria9783642203527_lsuk
Book Description Springer. Condition: New. Hardcover. Worldwide shipping. FREE fast shipping inside USA (express 2-3 day delivery also available). Tracking service included. Ships from United States of America. Seller Inventory # 3642203523
Book Description Springer-Verlag Berlin and Heidelberg GmbH and Co. KG, 2011. HRD. Condition: New. New Book.Shipped from US within 10 to 14 business days.THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # IP-9783642203527
Book Description Springer, 2011. Hardback. Condition: NEW. 9783642203527 This listing is a new book, a title currently in-print which we order directly and immediately from the publisher. For all enquiries, please contact Herb Tandree Philosophy Books directly - customer service is our primary goal. Seller Inventory # HTANDREE0355426
Book Description Springer, 2011. Hardcover. Condition: New. Seller Inventory # INGM9783642203527
Book Description Springer, 2017. Hardcover. Condition: New. Never used! This item is printed on demand. Seller Inventory # P113642203523
Book Description Springer 2011-06-24, 2011. Condition: New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely. Seller Inventory # NU-LBR-00946842
Book Description Springer Berlin Heidelberg 2011-06-24, Berlin, 2011. hardback. Condition: New. Seller Inventory # 9783642203527
Book Description Condition: New. Seller Inventory # L9783642203527