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Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization, Toly Chen


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Автор: Toly Chen
Название:  Contemporary Theory and Pragmatic Approaches in Fuzzy Computing Utilization
ISBN: 9781466618701
Издательство: Mare Nostrum (Eurospan)
Классификация:

ISBN-10: 1466618701
Обложка/Формат: Hardcover
Страницы: 382
Вес: 1.04 кг.
Дата издания: 30.11.2012
Серия: Computing & IT
Язык: English
Иллюстрации: Illustrations
Размер: 279 x 216 x 19
Читательская аудитория: Professional and scholarly
Ключевые слова: Artificial intelligence
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Поставляется из: Англии
Описание: Presents the most innovative systematic and practical facets of fuzzy computing technologies to students, scholars, and academicians, as well as practitioners, engineers, and professionals. This premier reference source focuses on up-to-date theoretical views of fuzzy computing while highlighting empirical approaches useful to real world utilization.


Hybrid Soft Computing Approaches

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Susant
Название: Hybrid Soft Computing Approaches
ISBN: 8132225430 ISBN-13(EAN): 9788132225430
Издательство: Springer
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Цена: 20896.00 р.
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Описание: Hybrid Soft Computing Approaches

Multidisciplinary Approaches to Neural Computing

Автор: Anna Esposito; Marcos Faudez-Zanuy; Francesco Carl
Название: Multidisciplinary Approaches to Neural Computing
ISBN: 3319569031 ISBN-13(EAN): 9783319569031
Издательство: Springer
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Цена: 20962.00 р.
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Описание: 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 for Distributed 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 Laser Technology.- 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.

Hybrid Soft Computing Approaches

Автор: Siddhartha Bhattacharyya; Paramartha Dutta; Susant
Название: Hybrid Soft Computing Approaches
ISBN: 8132229789 ISBN-13(EAN): 9788132229780
Издательство: Springer
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Цена: 18284.00 р.
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Описание:

Section 1. Hybrid Soft Computing Approaches: Research Chapter 1. A Hybrid CS-GSA Algorithm for Optimization.- Chapter 2. Study of Economic Load Dispatch by Various Hybrid Optimization Techniques.- Chapter 3. Unsolved Problems of Ambient Computationally Intelligent TBM Algorithms.- Chapter 4. Hybridizing Differential Evolution Variants through Heterogeneous Mixing in a Distributed Framework.- Section 2. Hybrid Soft Computing Approaches: Applications Chapter 5. Collaborative Simulated Annealing Genetic Algorithm for Geometric Optimization of Thermo-electric Coolers.- Chapter 6. Color Magnetic Resonance Brain Image Segmentation by Para Opti MUSIG Activation Function: An Application.- Chapter 7. Convergence Analysis of Back Propagation Algorithm for Designing an Intelligent System for Sensing Manhole Gases.- Chapter 8. REFII Model as a Base for Data Mining Techniques Hybridization with Purpose of Time Series Pattern Recognition.- Chapter 9. A Soft Computing Approach for Targeted Product Promotion on Social Networks.- Chapter 10. Hybrid Rough-PSO Approach in Remote Sensing Imagery Analysis.- Chapter 11. A Study and Analysis of Hybrid Intelligent Techniques for Breast Cancer Detection using Breast Thermograms.- Chapter 12. Neuro-Fuzzy Hybridized Model for Seasonal Rainfall Forecasting: A Case Study in Stock Index Forecasting.- Chapter 13. Hybridization of 2D-3D Images for Human Face Recognition.- Chapter 14. Neutrosophic Trust Evaluation Model in B2C E-commerce.- Chapter 15. Immune Based Feature Selection in Rigid Medical Image Registration Using Supervised Neural Network.


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