Description: Complex-Valued Neural Networks with Multi-Valued Neurons by Igor Aizenberg Estimated delivery 3-12 business days Format Paperback Condition Brand New Description 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. Publisher Description 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. Details ISBN 3662506319 ISBN-13 9783662506318 Title Complex-Valued Neural Networks with Multi-Valued Neurons Author Igor Aizenberg Format Paperback Year 2016 Pages 262 Publisher Springer-Verlag Berlin and Heidelberg GmbH & Co. KG GE_Item_ID:137665557; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys
Price: 188.89 USD
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End Time: 2024-11-28T03:40:19.000Z
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ISBN-13: 9783662506318
Book Title: Complex-Valued Neural Networks with Multi-Valued Neurons
Number of Pages: Xv, 262 Pages
Language: English
Publication Name: Complex-Valued Neural Networks with Multi-Valued Neurons
Publisher: Springer Berlin / Heidelberg
Item Height: 0.6 in
Publication Year: 2016
Subject: Engineering (General), Intelligence (Ai) & Semantics, Neural Networks
Item Weight: 16 Oz
Type: Textbook
Subject Area: Computers, Technology & Engineering
Item Length: 9.2 in
Author: Igor Aizenberg
Item Width: 6.1 in
Series: Studies in Computational Intelligence Ser.
Format: Trade Paperback
