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Supervised learning with complex-valued neural networks

ผู้แต่ง: Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
สำนักพิมพ์: Berlin ; New York : Springer, ©2013.
ชุด: Studies in computational intelligence, 421.
ครั้งที่พิมพ์/รูปแบบ:   หนังสืออีเล็กทรอนิกส์ : เอกสาร : ภาษาอังกฤษดูครั้งที่พิมพ์และรูปแบบ
ฐานข้อมูล:WorldCat
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Recent advancements in the field of telecommunications, medical imaging and signal processing deal with signals that are inherently time varying, nonlinear and complex-valued. The time varying, nonlinear characteristics of these signals can be effectively analyzed using artificial neural networks. Furthermore, to efficiently preserve the physical characteristics of these complex-valued signals, it is important to  อ่านมากขึ้น…
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ขนิดวัสดุ: เอกสาร, ทรัพยากรอินแทอร์เน็ต
ประเภทของเอกสาร: แหล่งข้อมูลอินเทอร์เน็ต, ไฟล์คอมพิวเตอร์
ผู้แต่งทั้งหมด : ผู้แต่งร่วม Sundaram Suresh; Narasimhan Sundararajan; Ramasamy Savitha
ISBN: 9783642294914 364229491X 3642294901 9783642294907
OCLC Number: 805398598
คำอธิบาย: 1 online resource.
สารบัญ: Introduction --
Fully Complex-valued Multi Layer Perceptron Networks --
A Fully Complex-valued Radial Basis Function Network and Its Learning Algorithm --
Fully Complex-valued Relaxation Networks --
Performance Study on Complex-valued Function Approximation Problems --
Circular Complex-valued Extreme Learning Machine Classifier --
Performance Study on Real-valued Classification Problems --
Complex-valued Self-regulatory Resource Allocation Network (CSRAN).
ชื่อชุด: Studies in computational intelligence, 421.
ความรับผิดชอบ: Sundaram Suresh, Narasimhan Sundararajan, and Ramasamy Savitha.
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A new generation of neural networks is needed in telecommunications, medical imaging and signal processing as signals become more complex and nonlinear. This survey of the latest complex-valued  อ่านมากขึ้น…

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