Applied neural networks and soft computing / Ivan Stanimirovic
Material type: TextPublisher: 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-computingItem type | Current location | Collection | Shelving location | Call number | Copy number | Status | Date due | Barcode |
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E-Books | Cavite State University - CCAT Campus | Electronic Resources | ER | EBOP QA 76.87 S73 2019 (Browse shelf) | 1 copy | Available | EBOP0000031 |
To access the E-Book : https://www.bibliotex.com/ (Log-in/Register is required).
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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