Willkommen, schön sind Sie da!
Logo Ex Libris

Advances in Neural Networks -- ISNN 2010

  • E-Book (pdf)
  • 641 Seiten
(0) Erste Bewertung abgeben
Alle Bewertungen ansehen
This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 201... Weiterlesen
E-Books ganz einfach mit der kostenlosen Ex Libris-Reader-App lesen. Hier erhalten Sie Ihren Download-Link.
CHF 160.00
Download steht sofort bereit
Informationen zu E-Books
E-Books eignen sich auch für mobile Geräte (sehen Sie dazu die Anleitungen).
E-Books von Ex Libris sind mit Adobe DRM kopiergeschützt: Erfahren Sie mehr.
Weitere Informationen finden Sie hier.
Bestellung & Lieferung in eine Filiale möglich


This book and its sister volume collect refereed papers presented at the 7th Inter- tional Symposium on Neural Networks (ISNN 2010), held in Shanghai, China, June 6-9, 2010. Building on the success of the previous six successive ISNN symposiums, ISNN has become a well-established series of popular and high-quality conferences on neural computation and its applications. ISNN aims at providing a platform for scientists, researchers, engineers, as well as students to gather together to present and discuss the latest progresses in neural networks, and applications in diverse areas. Nowadays, the field of neural networks has been fostered far beyond the traditional artificial neural networks. This year, ISNN 2010 received 591 submissions from more than 40 countries and regions. Based on rigorous reviews, 170 papers were selected for publication in the proceedings. The papers collected in the proceedings cover a broad spectrum of fields, ranging from neurophysiological experiments, neural modeling to extensions and applications of neural networks. We have organized the papers into two volumes based on their topics. The first volume, entitled "Advances in Neural Networks- ISNN 2010, Part 1," covers the following topics: neurophysiological foundation, theory and models, learning and inference, neurodynamics. The second volume en- tled "Advance in Neural Networks ISNN 2010, Part 2" covers the following five topics: SVM and kernel methods, vision and image, data mining and text analysis, BCI and brain imaging, and applications.


SVM and Kernel Methods.- Support Vector Regression and Ant Colony Optimization for Grid Resources Prediction.- An Improved Kernel Principal Component Analysis for Large-Scale Data Set.- Software Defect Prediction Using Fuzzy Support Vector Regression.- Refining Kernel Matching Pursuit.- Optimization of Training Samples with Affinity Propagation Algorithm for Multi-class SVM Classification.- An Effective Support Vector Data Description with Relevant Metric Learning.- A Support Vector Machine (SVM) Classification Approach to Heart Murmur Detection.- Genetic Algorithms with Improved Simulated Binary Crossover and Support Vector Regression for Grid Resources Prediction.- Temporal Gene Expression Profiles Reconstruction by Support Vector Regression and Framelet Kernel.- Linear Replicator in Kernel Space.- Coincidence of the Solutions of the Modified Problem with the Original Problem of v-MC-SVM.- Vision and Image.- Frequency Spectrum Modification: A New Model for Visual Saliency Detection.- 3D Modeling from Multiple Images.- Infrared Face Recognition Based on Histogram and K-Nearest Neighbor Classification.- Palmprint Recognition Using 2D-Gabor Wavelet Based Sparse Coding and RBPNN Classifier.- Global Face Super Resolution and Contour Region Constraints.- An Approach to Texture Segmentation Analysis Based on Sparse Coding Model and EM Algorithm.- A Novel Object Categorization Model with Implicit Local Spatial Relationship.- Facial Expression Recognition Method Based on Gabor Wavelet Features and Fractional Power Polynomial Kernel PCA.- Affine Invariant Topic Model for Generic Object Recognition.- Liver Segmentation from Low Contrast Open MR Scans Using K-Means Clustering and Graph-Cuts.- A Biologically-Inspired Automatic Matting Method Based on Visual Attention.- Palmprint Classification Using Wavelets and AdaBoost.- Face Recognition Based on Gabor-Enhanced Manifold Learning and SVM.- Gradient-based Local Descriptor and Centroid Neural Network for Face Recognition.- Mean Shift Segmentation Method Based on Hybridized Particle Swarm Optimization.- Palmprint Recognition Using Polynomial Neural Network.- Motion Detection Based on Biological Correlation Model.- Research on a Novel Image Encryption Scheme Based on the Hybrid of Chaotic Maps.- Computational and Neural Mechanisms for Visual Suppression.- Visual Selection and Attention Shifting Based on FitzHugh-Nagumo Equations.- Data Mining and Text Analysis.- Pruning Training Samples Using a Supervised Clustering Algorithm.- An Extended Validity Index for Identifying Community Structure in Networks.- Selected Problems of Intelligent Corpus Analysis through Probabilistic Neural Networks.- A Novel Chinese Text Feature Selection Method Based on Probability Latent Semantic Analysis.- A New Closeness Metric for Social Networks Based on the k Shortest Paths.- A Location Based Text Mining Method Using ANN for Geospatial KDD Process.- Modeling Topical Trends over Continuous Time with Priors.- Improving Sequence Alignment Based Gene Functional Annotation with Natural Language Processing and Associative Clustering.- Acquire Job Opportunities for Chinese Disabled Persons Based on Improved Text Classification.- Research and Application to Automatic Indexing.- Hybrid Clustering of Multiple Information Sources via HOSVD.- A Novel Hybrid Data Mining Method Based on the RS and BP.- BCI and Brain Imaging.- Dynamic Extension of Approximate Entropy Measure for Brain-Death EEG.- Multi-modal EEG Online Visualization and Neuro-Feedback.- Applications of Second Order Blind Identification to High-Density EEG-Based Brain Imaging: A Review.- A Method for MRI Segmentation of Brain Tissue.- Extract Mismatch Negativity and P3a through Two-Dimensional Nonnegative Decomposition on Time-Frequency Represented Event-Related Potentials.- The Coherence Changes in the Depressed Patients in Response to Different Facial Expressions.- Estimation of Event Related Potentials Using Wavelet Denoising Based Method.- Applications.- Adaptive Fit Parameters Tuning with Data Density Changes in Locally Weighted Learning.- Structure Analysis of Email Networks by Information-Theoretic Clustering.- Recognizing Mixture Control Chart Patterns with Independent Component Analysis and Support Vector Machine.- Application of Rough Fuzzy Neural Network in Iron Ore Import Risk Early-Warning.- Emotion Recognition and Communication for Reducing Second-Language Speaking Anxiety in a Web-Based One-to-One Synchronous Learning Environment.- A New Short-Term Load Forecasting Model of Power System Based on HHT and ANN.- Sensitivity Analysis of CRM Indicators.- Endpoint Detection of SiO2 Plasma Etching Using Expanded Hidden Markov Model.- Kernel Independent Component Analysis and Dynamic Selective Neural Network Ensemble for Fault Diagnosis of Steam Turbine.- A Neural Network Model for Evaluating Mobile Ad Hoc Wireless Network Survivability.- Ultra High Frequency Sine and Sine Higher Order Neural Networks.- Robust Adaptive Control Scheme Using Hopfield Dynamic Neural Network for Nonlinear Nonaffine Systems.- A New Intelligent Prediction Method for Grade Estimation.- Kernel-Based Lip Shape Clustering with Phoneme Recognition for Real-Time Voice Driven Talking Face.- Dynamic Fixed-Point Arithmetic Design of Embedded SVM-Based Speaker Identification System.- A Neural Network Based Model for Project Risk and Talent Management.- Harnessing ANN for a Secure Environment.- Facility Power Usage Modeling and Short Term Prediction with Artificial Neural Networks.- Classification of Malicious Software Behaviour Detection with Hybrid Set Based Feed Forward Neural Network.- MULP: A Multi-Layer Perceptron Application to Long-Term, Out-of-Sample Time Series Prediction.- Denial of Service Detection with Hybrid Fuzzy Set Based Feed Forward Neural Network.- Learning to Believe by Feeling: An Agent Model for an Emergent Effect of Feelings on Beliefs.- Soft Set Theoretic Approach for Discovering Attributes Dependency in Information Systems.- An Application of Optimization Model to Multi-agent Conflict Resolution.- Using TOPSIS Approach for Solving the Problem of Optimal Competence Set Adjustment with Multiple Target Solutions.- About the End-User for Discovering Knowledge.


Titel: Advances in Neural Networks -- ISNN 2010
Untertitel: 7th International Symposium on Neural Networks, ISNN 2010, Shanghai, China, June 6-9, 2010, Proceedings, Part II
EAN: 9783642133183
Digitaler Kopierschutz: Wasserzeichen
Format: E-Book (pdf)
Hersteller: Springer Berlin Heidelberg
Genre: IT & Internet
Anzahl Seiten: 641
Veröffentlichung: 30.05.2010
Dateigrösse: 18.6 MB

Weitere Bände aus der Buchreihe "Lecture Notes in Computer Science"