Soft Computing in Industrial Applications Recent Trends /
Soft Computing admits approximate reasoning, imprecision, uncertainty and partial truth in order to mimic aspects of the remarkable human capability of making decisions in real-life and ambiguous environments. "Soft Computing in Industrial Applications" contains a collection of papers that...
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2007.
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| Σειρά: | Advances in Soft Computing,
39 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Invited Keynote
- Hybrid Dynamic Systems in an Industry Design Application
- I: Soft Computing in Computer Graphics, Imaging and Vision
- Object Recognition Using Particle Swarm Optimization on Fourier Descriptors
- Gestix: A Doctor-Computer Sterile Gesture Interface for Dynamic Environments
- Differential Evolution for the Registration of Remotely Sensed Images
- Geodesic Distance Based Fuzzy Clustering
- II: Control Systems
- Stability Analysis of the Simplest Takagi-Sugeno Fuzzy Control System Using Popov Criterion
- Identification of an Experimental Process by B-Spline Neural Network Using Improved Differential Evolution Training
- Applying Particle Swarm Optimization to Adaptive Controller
- B-Spline Neural Network Using an Artificial Immune Network Applied to Identification of a Ball-and-Tube Prototype
- III: Pattern Recognition
- Pattern Recognition for Industrial Security Using the Fuzzy Sugeno Integral and Modular Neural Networks
- Application of a GA/Bayesian Filter-Wrapper Feature Selection Method to Classification of Clinical Depression from Speech Data
- Comparison of PSO-Based Optimized Feature Computation for Automated Configuration of Multi-sensor Systems
- Evaluation of Objective Features for Classification of Clinical Depression in Speech by Genetic Programming
- A Computationally Efficient SUPANOVA: Spline Kernel Based Machine Learning Tool
- IV: Classification
- Multiobjective Genetic Programming Feature Extraction with Optimized Dimensionality
- A Cooperative Learning Model for the Fuzzy ARTMAP-Dynamic Decay Adjustment Network with the Genetic Algorithm
- A Modified Fuzzy Min-Max Neural Network and Its Application to Fault Classification
- AFC-ECG: An Adaptive Fuzzy ECG Classifier
- A Self-organizing Fuzzy Neural Networks
- V: Soft Computing for Modeling, Optimization and Information Processing
- A Particle Swarm Approach to Quadratic Assignment Problems
- Population-Based Incremental Learning for Multiobjective Optimisation
- Combining of Differential Evolution and Implicit Filtering Algorithm Applied to Electromagnetic Design Optimization
- A Layered Matrix Cascade Genetic Algorithm and Particle Swarm Optimization Approach to Thermal Power Generation Scheduling
- Differential Evolution for Binary Encoding
- VI: Soft Computing in Civil Engineering and Other Applications
- Prioritization of Pavement Stretches Using Fuzzy MCDM Approach – A Case Study
- A Memetic Algorithm for Water Distribution Network Design
- Neural Network Models for Air Quality Prediction: A Comparative Study
- Recessive Trait Cross over Approach of GAs Population Inheritance for Evolutionary Optimization
- Automated Prediction of Solar Flares Using Neural Networks and Sunspots Associations.
