Neural Network

11 Open Access Books

391 Authors and Editors

602 Web of Science Citations

683 Dimensions Citations

11 peer-reviewed open access books

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Chapter title
1. Object Recognition Using Convolutional Neural Networks

By Richardson Santiago Teles de Menezes, Rafael Marrocos Magalhaes and Helton Maia

Part of book: Recent Trends in Artificial Neural Networks - from Training to Prediction

2. Memristor Neural Network Design

By Anping Huang, Xinjiang Zhang, Runmiao Li and Yu Chi

Part of book: Memristor and Memristive Neural Networks

3. Nanoscale Switching and Degradation of Resistive Random Access Memory Studied by In Situ Electron Microscopy

By Masashi Arita, Atsushi Tsurumaki-Fukuchi and Yasuo Takahashi

Part of book: Memristor and Memristive Neural Networks

4. Deep Learning Training and Benchmarks for Earth Observation Images: Data Sets, Features, and Procedures

By Mihai Datcu, Gottfried Schwarz and Corneliu Octavian Dumitru

Part of book: Recent Trends in Artificial Neural Networks - from Training to Prediction

5. Adaptive Neuro-Fuzzy Inference System Prediction of Calorific Value Based on the Analysis of U.S. Coals

By F. Rafezi, E. Jorjani and Sh. Karimi

Part of book: Artificial Neural Networks - Industrial and Control Engineering Applications

6. The Use of Artificial Neural Networks (ANNs) in Aquatic Ecology

By Antoni Quetglas, Francesc Ordines and Beatriz Guijarro

Part of book: Artificial Neural Networks - Application

7. Fourier Transform Profilometry in LabVIEW

By Andrés G. Marrugo, Jesús Pineda, Lenny A. Romero, Raúl Vargas and Jaime Meneses

Part of book: Digital Systems

8. Emulator Circuits and Resistive Switching Parameters of Memristor

By Abdullah Yesil, Fatih Gül and Yunus Babacan

Part of book: Memristor and Memristive Neural Networks

9. Neural Network-Based Analog-to-Digital Converters

By Aigerim Tankimanova and Alex Pappachen James

Part of book: Memristor and Memristive Neural Networks

10. The Usefulness of Artificial Neural Networks in Predicting the Outcome of Hematopoietic Stem Cell Transplantation

By Giovanni Caocci, Roberto Baccoli and Giorgio La Nasa

Part of book: Artificial Neural Networks - Methodological Advances and Biomedical Applications