مشخصات کتاب

Artificial Neural Networks: Biological Inspirations - ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, ... Computer Science and General Issues)

دسته بندی: آمار ریاضی
ویرایش: 1 
نویسندگان: Wlodzislaw Duch,  Erkki Oja,  Slawomir Zadrozny  
سری:  
ISBN (شابک) : 3540287523, 9783540287520 
ناشر: Springer 
سال نشر: 2005 
تعداد صفحات: 718 
زبان: English 
فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) 
حجم فایل: 22 مگابایت 

در صورت تبدیل فایل کتاب Artificial Neural Networks: Biological Inspirations - ICANN 2005: 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, ... Computer Science and General Issues) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.

توجه داشته باشید کتاب شبکه های عصبی مصنوعی: الهامات زیست شناختی - ICANN 2005: پانزدهمین کنفرانس بین المللی ، ورشو ، لهستان ، 11-15 سپتامبر 2005 ، مجموعه مقالات ، ... علوم کامپیوتر و مسائل عمومی) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.

توضیحاتی درمورد کتاب به خارجی

The two volume set LNCS 3696 and LNCS 3697 constitutes the refereed proceedings of the 15th International Conference on Artificial Neural Networks, ICANN 2005, held in Warsaw, Poland in September 2005. The over 600 papers submitted to ICANN 2005 were thoroughly reviewed and carefully selected for presentation. The first volume includes 106 contributions related to Biological Inspirations; topics addressed are modeling the brain and cognitive functions, development of cognitive powers in embodied systems spiking neural networks, associative memory models, models of biological functions, projects in the area of neuroIT, evolutionary and other biological inspirations, self-organizing maps and their applications, computer vision, face recognition and detection, sound and speech recognition, bioinformatics, biomedical applications, and information- theoretic concepts in biomedical data analysis. The second volume contains 162 contributions related to Formal Models and their Applications and deals with new neural network models, supervised learning algorithms, ensemble-based learning, unsupervised learning, recurent neural networks, reinforcement learning, bayesian approaches to learning, learning theory, artificial neural networks for system modeling, decision making, optimalization and control, knowledge extraction from neural networks, temporal data analysis, prediction and forecasting, support vector machines and kernel-based methods, soft computing methods for data representation, analysis and processing, data fusion for industrial, medical and environmental applications, non-linear predictive models for speech processing, intelligent multimedia and semantics, applications to natural language processing, various applications, computational intelligence in games, and issues in hardware implementation. Table of Contents Cover Artificial Neural Networks: Biological Inspirations - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I ISBN-10 3540287523 ISBN-13 9783540287520 Preface Table of Contents - Part I Biological Inspirations Table of Contents - Part I I Formal Models and Their Applications Novelty Analysis in Dynamic Scene for Autonomous Mental Development The Computational Model to Simulate the Progress of Perceiving Patterns in Neuron Population Short Term Memory and Pattern Matching with Simple Echo State Networks Analytical Solution for Dynamic of Neuronal Populations Dynamics of Cortical Columns - Sensitive Decision Making Dynamics of Cortical Columns - Self-organization of Receptive Fields Optimal Information Transmission Through Cortico-Cortical Synapses Ensemble of SVMs for Improving Brain Computer Interface P300 Speller Performances Modelling Path Integrator Recalibration Using Hippocampal Place Cells Coding of Objects in Low-Level Visual Cortical Areas A Gradient Rule for the Plasticity of a Neuron's Intrinsic Excitability Building the Cerebellum in a Computer Combining Attention and Value Maps Neural Network with Memory and Cognitive Functions Associative Learning in Hierarchical Self Organizing Learning Arrays A Review of Cognitive Processing in the Brain Neuronal Behavior with Sub-threshold Oscillations and Spiking/Bursting Activity Using a Piecewise Linear Two-Dimensional Map On-Line Real-Time Oriented Application for Neuronal Spike Sorting with Unsupervised Learning A Spiking Neural Sparse Distributed Memory Implementation for Learning and Predicting Temporal Sequences ANN-Based System for Sorting Spike Waveforms Employing Refractory Periods Emergence of Oriented Cell Assemblies Associated with Spike-Timing-Dependent Plasticity An Information Geometrical Analysis of Neural Spike Sequences Perceptual Binding by Coupled Oscillatory Neural Network Experimental Demonstration of Learning Properties of a New Supervised Learning Method for the Spiking Neural Networks Single-Unit Recordings Revisited: Activity in Recurrent Microcircuits A Hardware/Software Framework for Real-Time Spiking Systems Efficient Source Detection Using Integrate-and-Fire Neurons A Model for Hierarchical Associative Memories via Dynamically Coupled GBSB Neural Networks Balance Algorithm for Point-Feature Label Placement Problem Models of Self-correlation Type Complex-Valued Associative Memories and Their Dynamics Recovery of Performance in a Partially Connected Associative Memory Network Through Coding Optimal Triangle Stripifications as Minimum Energy States in Hop.eld Nets A Biophysical Model of Decision Making in an Antisaccade Task Through Variable Climbing Activity Can Dynamic Neural Filters Produce Pseudo-Random Sequences? Making Competition in Neural Fields Suitable for Computational Architectures Neural Network Computations with Negative Triggering Thresholds A Model for Delay Activity Without Recurrent Excitation Neuronal Coding Strategies for Two-Alternative Forced Choice Tasks Learning Features of Intermediate Complexity for the Recognition of Biological Motion Study of Nitric Oxide Effect in the Hebbian Learning: Towards a Diffusive Hebb's Law Deterministic Modelling of Randomness with Recurrent Artificial Neural Networks Action Understanding and Imitation Learning in a Robot-Human Task Comparative Investigation into Classical and Spiking Neuron Implementations on FPGAs HYDRA: From Cellular Biology to Shape-Changing Artefacts The CIRCE Head: A Biomimetic Sonar System Tools for Address-Event-Representation Communication Systems and Debugging New Ears for a Robot Cricket Reinforcement Learning in MirrorBot Varying the Population Size of Artificial Foraging Swarms on Time Varying Landscapes Lamarckian Clonal Selection Algorithm with Application Analysis for Characteristics of GA-Based Learning Method of Binary Neural Networks Immune Clonal Selection Wavelet Network Based Intrusion Detection Investigation of Evolving Populations of Adaptive Agents Enhancing Cellular Automata by an Embedded Generalized Multi-layer Perceptron Intelligent Pattern Generation for a Tactile Communication System Self-organizing Map Initialization Principles of Employing a Self-organizing Map as a Frequent Itemset Miner Spatio-Temporal Organization Map: A Speech Recognition Application Residual Activity in the Neurons Allows SOMs to Learn Temporal Order Ordering of the RGB Space with a Growing Self-organizing Network. Application to Color Mathematical Morphology SOM of SOMs: Self-organizing Map Which Maps a Group of Self-organizing Maps The Topographic Product of Experts Self Organizing Map (SOM) Approach for Classification of Power Quality Events SOM-Based Method for Process State Monitoring and Optimization in Fluidized Bed Energy Plant A New Extension of Self-optimizing Neural Networks for Topology Optimization A Novel Technique for Data Visualization Based on SOM Statistical Properties of Lattices Affect Topographic Error in Self-organizing Maps Increasing Reliability of SOMs' Neighbourhood Structure with a Bootstrap Process Artificial Neural Receptive Field for Stereovision Pattern Detection Using Fast Normalized Neural Networks Neural Network Model for Extracting Optic Flow A Modular Single-Hidden-Layer Perceptron for Letter Recognition Fast Color-Based Object Recognition Independent of Position and Orientation Class-Speci.c Sparse Coding for Learning of Object Representations Neural Network Based Adult Image Classification* Online Learning for Object Recognition with a Hierarchical Visual Cortex Model Extended Hop.eld Network for Sequence Learning: Application to Gesture Recognition Accurate and Robust Image Superresolution by Neural Processing of Local Image Representations The Emergence of Visual Object Recognition Implicit Relevance Feedback from Eye Movements Image Segmentation by Complex-Valued Units Cellular Neural Networks for Color Image Segmentation Image Segmentation Using Watershed Transform and Feed-Back Pulse Coupled Neural Network Adaptive Switching Median Filter with Neural Network Impulse Detection Step Human Face Detection Using New High Speed Modular Neural Networks Face Detection Using Convolutional Neural Networks and Gabor Filters Face Identification Performance Using Facial Expressions as Perturbation Discriminative Common Images for Face Recognition* Classifcation of Face Images for Gender, Age, Facial Expression, and Identity Classifying Unprompted Speech by Retraining LSTM Nets Temporal Sound Processing by Cochlear Nucleus Octopus Neurons A SOM Based 2500 Isolated Farsi Word Speech Recognizer Training HMM/ANN Hybrid Speech Recognizers by Probabilistic Sampling Chord Classifications by Artificial Neural Networks Revisited: Internal Representations of Circles of Major Thirds and Minor Thirds Biclustering Gene Expression Data in the Presence of Noise Gene Extraction for Cancer Diagnosis by Support Vector Machines High-Throughput Multi-dimensional Scaling (HiT-MDS) for cDNA-Array Expression Data Comparing Neural Network Architecture for Pattern Recognize System on Artificial Noses Medical Document Categorization Using a Priori Knowledge A Neurofuzzy Methodology for the Diagnosis of Wireless-Capsule Endoscopic Images Neural Network Use for the Identification of Factors Related to Common Mental Disorders Development and Realization of the Artificial Neural Network for Diagnostics of Stroke Type A First Attempt at Constructing Genetic Programming Expressions for EEG Classification SOM-Based Wavelet Filtering for the Exploration of Medical Images Functional MRI Analysis by a Novel Spatiotemporal ICA Algorithm Early Detection of Alzheimer's Disease by Blind Source Separation, Time Frequency Representation, and Bump Modeling of EEG Signa Acknowledgements to the Reviewers Author Index

نظرات کاربران

کتاب های مرتبط

دانلود کتاب Latent Class and Latent Transition Analysis: With Applications in the Social, Behavioral, and Health Sciences (Wiley Series in Probability and Statistics)

دانلود کتاب Uniform Central Limit Theorems, 2nd edition

دانلود کتاب Statistics with Stata [stata9.0]

دانلود کتاب Local Variance Estimation for Uncensored and Censored Observations

دانلود کتاب Experimental Design and Process Optimization

دانلود کتاب Modern Psychometrics with R

دانلود کتاب L'analyse des données

دانلود کتاب Lectures on Probability Theory and Statistics: Ecole d'Eté de Probabilités de Saint-Flour XXXIII - 2003

دانلود کتاب Schaum's outline of theory and problems of probability and statistics

دانلود کتاب Experimental design : unified concepts, practical applications, and computer implementation