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Book Categories |
| 1 | Elementary Rough Set Granules: Toward a Rough Set Processor | 5 |
| 2 | Rough-Neural Computing: An Introduction | 15 |
| 3 | Information Granules and Rough-Neural Computing | 43 |
| 4 | A Rough-Neural Computation Model Based on Rough Mereology | 85 |
| 5 | Knowledge-Based Networking in Granular Worlds | 109 |
| 6 | Adaptive Aspects of Combining Approximation Spaces | 139 |
| 7 | Algebras from Rough Sets | 157 |
| 8 | Approximation Transducers and Trees: A Technique for Combining Rough and Crisp Knowledge | 189 |
| 9 | Using Contextually Closed Queries for Local Closed-World Reasoning in Rough Knowledge Databases | 219 |
| 10 | On Model Evaluation, Indexes of Importance, and Interaction Values in Rough Set Analysis | 251 |
| 11 | New Fuzzy Rough Sets Based on Certainty Qualification | 277 |
| 12 | Toward Rough Datalog: Embedding Rough Sets in Prolog | 297 |
| 13 | On Exploring Soft Discretization of Continuous Attributes | 333 |
| 14 | Rough-SOM with Fuzzy Discretization | 351 |
| 15 | Biomedical Inference: A Semantic Model | 373 |
| 16 | Fundamental Mathematical Notions of the Theory of Socially Embedded Games: A Granular Computing Perspective | 411 |
| 17 | Fuzzy Games and Equilibria: The Perspective of the General Theory of Games on Nash and Normative Equilibria | 435 |
| 18 | Rough Neurons: Petri Net Models and Applications | 471 |
| 19 | Information Granulation in a Decision-Theoretical Model of Rough Sets | 491 |
| 20 | Intelligent Acquisition of Audio Signals Employing Neural Networks and Rough Set Algorithms | 521 |
| 21 | An Approach to Imbalanced Data Sets Based on Changing Rule Strength | 543 |
| 22 | Rough-Neural Approach to Testing the Influence of Visual Cues on Surround Sound Perception | 555 |
| 23 | Handwritten Digit Recognition Using Adaptive Classifier Construction Techniques | 573 |
| 24 | From Rough through Fuzzy to Crisp Concepts: Case Study on Image Color Temperature Description | 587 |
| 25 | Information Granulation and Pattern Recognition | 599 |
| 26 | Computational Analysus of Acquired Dyslexia of Kanji Characters Based on Conventional and Rough Neural Networks | 637 |
| 27 | WaRS: A Method for Signal Classification | 649 |
| 28 | A Hybrid Model for Rule Discovery in Data | 689 |
| Author Index | 723 | |
| Index | 725 |
| Price | Condition | Delivery | Seller | Action |
| $167.31 | Digital |
| WonderClub |
Joseph Nolting
reviewed Rough-Neural Computing: Techniques for Computing with Words on June 08, 2014
Rough-Neural Computing: Techniques for Computing with Words
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Add Rough-Neural Computing: Techniques for Computing with Words, Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g., in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, and genetic algorithms. It is we, Rough-Neural Computing: Techniques for Computing with Words to the inventory that you are selling on WonderClubX
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Add Rough-Neural Computing: Techniques for Computing with Words, Soft computing comprises various paradigms dedicated to approximately solving real-world problems, e.g., in decision making, classification or learning; among these paradigms are fuzzy sets, rough sets, neural networks, and genetic algorithms. It is we, Rough-Neural Computing: Techniques for Computing with Words to your collection on WonderClub |