Artificial Neural Networks and Machine Learning -- ICANN 2012 (häftad)
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Format
Häftad (Paperback / softback)
Språk
Engelska
Antal sidor
739
Utgivningsdatum
2012-08-13
Upplaga
2012 ed.
Förlag
Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Medarbetare
Duch, Wlodzislaw (ed.), Masulli, Francesco (ed.), Palm, Günther (ed.), Villa, Alessandro E. P. (ed.), Érdi, Péter (ed.)
Illustrationer
303 Illustrations, black and white; XXVII, 739 p. 303 illus.
Volymtitel
Part I
Dimensioner
234 x 156 x 39 mm
Vikt
1058 g
Antal komponenter
1
Komponenter
1 Paperback / softback
ISBN
9783642332685
Artificial Neural Networks and Machine Learning -- ICANN 2012 (häftad)

Artificial Neural Networks and Machine Learning -- ICANN 2012

22nd International Conference on Artificial Neural Networks, Lausanne, Switzerland, September 11-14, 2012, Proceedings, Part I

Häftad Engelska, 2012-08-13
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The two-volume set LNCS 7552 + 7553 constitutes the proceedings of the 22nd International Conference on Artificial Neural Networks, ICANN 2012, held in Lausanne, Switzerland, in September 2012. The 162 papers included in the proceedings were carefully reviewed and selected from 247 submissions. They are organized in topical sections named: theoretical neural computation; information and optimization; from neurons to neuromorphism; spiking dynamics; from single neurons to networks; complex firing patterns; movement and motion; from sensation to perception; object and face recognition; reinforcement learning; bayesian and echo state networks; recurrent neural networks and reservoir computing; coding architectures; interacting with the brain; swarm intelligence and decision-making; mulitlayer perceptrons and kernel networks; training and learning; inference and recognition; support vector machines; self-organizing maps and clustering; clustering, mining and exploratory analysis; bioinformatics; and time weries and forecasting.
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Innehållsförteckning

Temporal Patterns in Artificial Reaction Networks.- Properties of the Hopfield Model with Weighted Patterns.- Dynamics and Oscillations of GHNNs with Time-Varying Delay.- A Dynamic Field Architecture for the Generation of Hierarchically Organized Sequences.- Stochastic Techniques in Influence Diagrams for Learning Bayesian Network Structure.- The Mix-Matrix Method in the Problem of Binary Quadratic Optimization.- A Rule Chaining Architecture Using a Correlation Matrix Memory.- A Generative Multiset Kernel for Structured Data.- Spectral Signal Unmixing with Interior-Point Nonnegative Matrix Factorization.- Hybrid Optimized Polynomial Neural Networks with Polynomial Neurons and Fuzzy Polynomial Neurons.- Tikhonov-Type Regularization for Restricted Boltzmann Machines.- Modeling of Spiking Analog Neural Circuits with Hebbian Learning, Using Amorphous Semiconductor Thin Film Transistors with Silicon Oxide Nitride Semiconductor Split Gates.- Real-Time Simulations of Synchronization in a Conductance-Based Neuronal Network with a Digital FPGA Hardware-Core.- Impact of Frequency on the Energetic Efficiency of Action Potentials.- A Large-Scale Spiking Neural Network Accelerator for FPGA Systems.- Silicon Neurons That Compute.- A Communication Infrastructure for Emulating Large-Scale Neural Networks Models.- Pair-Associate Learning with Modulated Spike-Time Dependent Plasticity.- Associative Memory in Neuronal Networks of Spiking Neurons: Architecture and Storage Analysis.- Bifurcating Neurons with Filtered Base Signals.- Basic Analysis of Digital Spike Maps.- Cyfield-RISP: Generating Dynamic Instruction Set Processors for Reconfigurable Hardware Using OpenCL.- A Biophysical Network Model Displaying the Role of Basal Ganglia Pathways in Action Selection.- How Degrading Networks Can Increase Cognitive Functions.- Emergence of Connectivity Patterns from Long-Term and Short-Term Plasticities.- Artificial Neural Networks and Data Compression Statistics for the Discrimination of Cultured Neuronal Activity.- Liquid Computing in a Simplified Model of Cortical Layer IV: Learning to Balance a Ball.- Timing Self-generated Actions for Sensory Streaming.- The Capacity and the Versatility of the Pulse Coupled Neural Network in the Image Matching.- A Novel Bifurcation-Based Synthesis of Asynchronous Cellular Automaton Based Neuron.- Biomimetic Binaural Sound Source Localisation with Ego-Noise Cancellation.- A Biologically Realizable Bayesian Computation in a Cortical Neural Network.- Evaluating the Effect of Spiking Network Parameters on Polychronization.- Classification of Distorted Patterns by Feed-Forward Spiking Neural Networks.- Spike Transmission on Diverging/Converging Neural Network and Its Implementation on a Multilevel Modeling Platform.- Differential Entropy of Multivariate Neural Spike Trains.- Learning Representations for Animated Motion Sequence and Implied Motion Recognition.- Exploratory Behaviour Depends on Multisensory Integration during Spatial Learning.- Control of Biped Robot Joints' Angles Using Coordinated Matsuoka Oscillators.- Self-calibrating Marker Tracking in 3D with Event-Based Vision Sensors.- Integration of Static and Self-motion-Based Depth Cues for Efficient Reaching and Locomotor Actions.- A Proposed Neural Control for the Trajectory Tracking of a Nonholonomic Mobile Robot with Disturbances.- Simulating Light Adaptation in the Retina with Rod-Cone Coupling.- Evolving Neural Networks for Orientation Behavior of Sand Scorpions towards Prey.- Evolving Dendritic Morphology and Parameters in Biologically Realistic Model Neurons for Pattern Recognition.- Neural Network Providing Integrative Perception of Features and Subsecond Temporal Parameters of Sensory Stimuli.- An Effect of Short and Long Reciprocal Projections on Evolution of Hierarchical Neural Networks.- Some Things Psychopathologies Can Tell Us about Consciousness.- Elastic Graph Matching on Gabor Feature Representation at Low Image Resolution.- Contour Detection