Multidisciplinary Approaches to Neural Computing -

Multidisciplinary Approaches to Neural Computing

Buch | Hardcover
XV, 388 Seiten
2017 | 1st ed. 2018
Springer International Publishing (Verlag)
978-3-319-56903-1 (ISBN)
106,99 inkl. MwSt

This book presents a collection of contributions in the field of Artificial Neural Networks (ANNs). The themes addressed are multidisciplinary in nature, and closely connected in their ultimate aim to identify features from dynamic realistic signal exchanges and invariant machine representations that can be exploited to improve the quality of life of their end users.

Mathematical tools like ANNs are currently exploited in many scientific domains because of their solid theoretical background and effectiveness in providing solutions to many demanding tasks such as appropriately processing (both for extracting features and recognizing) mono- and bi-dimensional dynamic signals, solving strong nonlinearities in the data and providing general solutions for deep and fully connected architectures. Given the multidisciplinary nature of their use and the interdisciplinary characterization of the problems they are applied to - which range from medicine to psychology, industrial and social robotics, computer vision, and signal processing (among many others) - ANNs may provide a basis for redefining the concept of information processing. These reflections are supported by theoretical models and applications presented in the chapters of this book.

This book is of primary importance for: (a) the academic research community, (b) the ICT market, (c) PhD students and early-stage researchers, (d) schools, hospitals, rehabilitation and assisted-living centers, and (e) representatives of multimedia industries and standardization bodies.

Redefining Information Processing Through Neural Computing Models.- A Neural Approach for Hybrid Events Discrimination at Stomboli Volcano.- Fully Automatic Multispectral MR Image Segmentation of Prostate Gland Based on the Fuzzy C-Means Clustering Algorithm.- Integrating QuickBundles into a Model-Guided Approach for Extracting "Anatomically-Coherent'' and "Symmetry-Aware'' White Matter Fiber-Bundles.- Accurate Computation of Drude-Lorentz Model Coefficients of Single Negative Magnetic Metamaterials Using a Micro-Genetic Algorithm Approach.- Effective Blind Source Separation Based on the Adam Algorithm.- Depth-based Hand Pose Recognizer Using Learning Vector Quantization.- Correlation Dimension-Based Recognition of Simple Juggling Movements.- Cortical Phase Transitions as an Effect of Topology of Neural Network.- Fall Detection by Using an Innovative Floor Acoustic Sensor.- An improved Hilbert-Huang Transform for Non-Linear and Time-Variant Signals.- Privacy-preserving Data Mining forDistributed Medical Scenarios.- Rule Base Reduction Using Conflicting and Reinforcement Measures.- An Application of Internet Traffic Prediction with Deep Neural Network.- Growing Curvilinear Component Analysis (GCCA) for Dimensionality Reduction of Nonstationary Data.- Convolutional Neural Networks with 3-D Kernels for Voice Activity Detection in a Multiroom Environment.- A Hybrid Variable Selection Approach for NN-Based Classification in Industrial Context.- Advanced Neural Networks Systems for Unbalanced Industrial Datasets.- Quantum-Inspired Evolutionary Multiobjective Optimization for a Dynamic Production Scheduling Approach.- A Neural Network-Based Approach for Steam Turbine Monitoring.- A Predictive Model of Artificial Neural Network for Fuel Consumption in Engine Control System.- SOM-Based Analysis to Relate Non-Uniformities in Magnetic Measurements to Hot Strip Mill Process Conditions.- Vision-Based Mapping and Micro-Localization of Industrial Components in the Fields of LaserTechnology.- When Intuitive Decisions Making, Based on Expertise, May Deliver Better Results than a Rational, Deliberate Approach.- Artificial Entities or Moral Agents? How AI is Changing Human Evolution.

Erscheinungsdatum
Reihe/Serie Smart Innovation, Systems and Technologies
Zusatzinfo XV, 388 p. 124 illus.
Verlagsort Cham
Sprache englisch
Maße 155 x 235 mm
Gewicht 724 g
Themenwelt Informatik Software Entwicklung User Interfaces (HCI)
Informatik Theorie / Studium Künstliche Intelligenz / Robotik
Mathematik / Informatik Mathematik Angewandte Mathematik
Technik
Schlagworte approximation algorithms • Artificial Intelligence • artificial intelligence (incl. robotics) • Artificial Intelligent Methods • Artificial Neural Networks • biometrics • Computational Intelligence • computer vision • Engineering • Engineering: general • Human-Machine Interactions • Imaging Systems & Technology • Imaging Systems & Technology • Industrial and Robotics Applications • learning • machine learning • Mathematical Modelling • Mathematical Models of Cognitive Processes and Neu • Neural Network Models • pattern recognition • Robotics • Signal, Image and Speech Processing • Signal Processing • Social and Biometric Application • user interface design & usability • User interface design & usability • user interfaces and human computer interaction
ISBN-10 3-319-56903-1 / 3319569031
ISBN-13 978-3-319-56903-1 / 9783319569031
Zustand Neuware
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