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Applied neural networks and soft computing / Ivan Stanimirovic

By: Stanimirovic, Ivan, authorMaterial type: TextTextPublisher: Oakville, Ontario : Arcler Press, 2019Description: xx, 233 pages ; illustrationsContent type: text Media type: computer Carrier type: online resourceSubject(s): Neural networks (Computer science) | Neural networks (Neurobiology)LOC classification: EBOP QA 76.87 | S73 2019Online resources: Electronic Resources https://www.bibliotex.com/product/applied-neural-networks-soft-computing
Contents:
Chapter 1: Introduction Chapter 2: Application of an Intelligent Hopfield Neural Networks For Face Recognition Chapter 3: Artificial Neural Networks Chapter 4: Neural Networks Applied to the Analysis of Images Chapter 5: Image Analysis System Chapter 6: Design and Construction of A System For Detecting Electromyographic Signals Using Neural Networks Chapter 7: Conclusions
Summary: Applied Neural Networks and Soft Computing examines the relation between neural networks and soft computing. Neural network is a system of hardware and software designed after the operations of neurons. Applied neural networks has a plethora of applications and the text tries to touch every aspect to give readers a wider perspective. Further, artificial neural networks (vaguely inspired by biological neural network) are also discussed to keep readers up to date regarding the latest innovations taking place.
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Item type Current location Collection Shelving location Call number Copy number Status Date due Barcode
E-Books E-Books Cavite State University - CCAT Campus
Electronic Resources ER EBOP QA 76.87 S73 2019 (Browse shelf) 1 copy Available EBOP0000031
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EBOP QA 76.76.C672 C66 2022 Computer games technology / EBOP QA 76.76.H94 T37 2022 Basic computer coding : HTML / EBOP QA 76.77 O64 2018 Operating Systems / EBOP QA 76.87 S73 2019 Applied neural networks and soft computing / Ivan Stanimirovic EBOP QA 76.575 A38 2022 Advances in multimedia / EBOP QA 276.45.R3 N33 2022 Introduction to R programming language / EBOP QA 184 M66 2018 Linear algebra : theorems and applications /

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Includes references and index.

Chapter 1: Introduction
Chapter 2: Application of an Intelligent Hopfield Neural Networks For Face Recognition
Chapter 3: Artificial Neural Networks
Chapter 4: Neural Networks Applied to the Analysis of Images
Chapter 5: Image Analysis System
Chapter 6: Design and Construction of A System For Detecting Electromyographic Signals Using Neural Networks
Chapter 7: Conclusions

Applied Neural Networks and Soft Computing examines the relation between neural networks
and soft computing. Neural network is a system of hardware and software designed
after the operations of neurons. Applied neural networks has a plethora of applications
and the text tries to touch every aspect to give readers a wider perspective. Further, artificial
neural networks (vaguely inspired by biological neural network) are also discussed to
keep readers up to date regarding the latest innovations taking place.

EBOP00031 1

In English text.

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