Applied neural networks and soft computing / Ivan Stanimirovic
Material type:
TextPublication details: Oakville, Ontario : Arcler Press, 2019Description: xx, 233 pages ; illustrationsContent type: - text
- computer
- online resource
- EBOP QA 76.87 S73 2019
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E-Books
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Cavite State University - CCAT Campus | Electronic Resources | ER | EBOP QA 76.87 S73 2019 (Browse shelf(Opens below)) | 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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