Soft Computing in Artificial Intelligence
This book explores the concept of artificial intelligence based on knowledge-based algorithms. Given the current hardware and software technologies and artificial intelligence theories, we can think of how efficient to provide a solution, how best to implement a model and how successful to achieve i...
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| Other Authors: | , |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
Cham :
Springer International Publishing : Imprint: Springer,
2014.
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| Series: | Advances in Intelligent Systems and Computing,
270 |
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
Table of Contents:
- Fuzzy (r, s)-minimal preopen sets and fuzzy (r, s)-M precontinuous mappings on (r, s)-fuzzy minimal spaces
- On fuzzy (r, s)-minimal β-open sets on (r, s)-fuzzy minimal spaces
- Handling Very Large Cooccurrence Matrices in Fuzzy Co-clustering by Sampling Approaches
- Fuzzy c-Regression Models Based on Optimal Scaling of Categorical Observation with Tolerance
- Building a Knowledge Base for Expert System in Information Security
- Fuzzy logic and neural network based induction control in a diesel engine
- Evaluation and Analysis of Relationship and Individual Role Adaptation for Team Sports using SOM
- Recursive Neuro-Fuzzy Algorithm for Flow Prediction and Pump On-Off Minimization
- Logotype Design Support System Based on Sketches
- An Artificial Neural Network Based on the Architecture of the Cerebellum for Behavior Learning.
