Engineering Applications of Neural Networks 1st Edition by Chrisina Jayne, Lazaros Iliadis ISBN 3319441884 9783319441887

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Product details:

ISBN 10:  3319441884
ISBN 13: 978-3319441887
Author:      Chrisina Jayne, Lazaros Iliadis

Engineering Applications of Neural Networks 1st Table of contents:

1. Active Learning and Dynamic Environments

• Deep Active Learning for Autonomous Navigation
• 2D Recurrent Neural Networks for Robust Visual Tracking of Non-Rigid Bodies
• Choice of Best Samples for Building Ensembles in Dynamic Environments

2. Semi-supervised Modeling

• Semi-supervised Hybrid Modeling of Atmospheric Pollution in Urban Centers

3. Classification Applications

• Predicting Abnormal Bank Stock Returns Using Textual Analysis of Annual Reports – A Neural Network Approach
• Emotion Recognition Using Facial Expression Images for a Robotic Companion
• Application of Artificial Neural Networks for Analyses of EEG Record with Semi-Automated Etalons Extraction: A Pilot Study

4. Clustering Applications

• Economies Clustering Using SOM-Based Dissimilarity
• Elastic Net Application: Case Study to Find Solutions for the TSP in a Beowulf Cluster Architecture
• Comparison of Methods for Automated Feature Selection Using a Self-Organising Map
• EEG-Based Condition Clustering Using Self-Organising Neural Network Map

5. Cyber-Physical Systems and Cloud Applications

• Intelligent Measurement in Unmanned Aerial Cyber Physical Systems for Traffic Surveillance
• Predictive Model for Detecting MQ2 Gases Using Fuzzy Logic on IoT Devices
• A Multi-commodity Network Flow Model for Cloud Service Environments
• Designing a Context-Aware Cyber Physical System for Smart Conditional Monitoring of Platform Equipment

6. Time-Series Prediction

• Convolutional Radio Modulation Recognition Networks
• Mutual Information with Parameter Determination Approach for Feature Selection in Multivariate Time Series Prediction

7. Learning-Algorithms

• On Learning Parameters of Incremental Learning in Chaotic Neural Network
• Accelerated Optimal Topology Search for Two-Hidden-Layer Feedforward Neural Networks
• An Outlier Ranking Tree Selection Approach to Extreme Pruning of Random Forests
• Lower Bounds on Complexity of Shallow Perceptron Networks
• Kernel Networks for Function Approximation

8. Short Papers

• Simple and Stable Internal Representation by Potential Mutual Information Maximization
• Urdu Speech Corpus and Preliminary Results on Speech Recognition
• Bio-inspired Audio-Visual Speech Recognition Towards the Zero Instruction Set Computing

9. Tutorials

• Classification of Unbalanced Datasets and Detection of Rare Events in Industry: Issues and Solutions
• Variable Selection for Efficient Design of Machine Learning-Based Models: Efficient Approaches for In

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