Advances in soft computing 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, Puebla, Mexico, November 26 - December 4, 2011 : proceedings. Part II /
The two-volume set LNAI 7094 and 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully selected from XXX submissions. The second...
| Corporate Authors: | Mexican International Conference on Artificial Intelligence Puebla, Mexico) |
|---|---|
| Other Authors: | Mexican International Conference on Artificial Intelligence, Batyrshin, Ildar., Sidorov, Grigori., SpringerLink (Online service) |
| Format: | eBook |
| Language: | English |
| Published: |
Heidelberg ; New York :
Springer-Verlag GmbH Berlin Heidelberg,
©2011.
Heidelberg ; New York : [2011] |
| Physical Description: |
1 online resource (xxv, 534 pages) : illustrations (some color). |
| Series: |
Lecture notes in computer science ;
7095. Lecture notes in computer science. Lecture notes in artificial intelligence. |
| Subjects: |
Table of Contents:
- Intro; Title; Preface; Organization; Table of Contents; Fuzzy Logic, Uncertainty and Probabilistic Reasoning; Intelligent Control of Nonlinear Dynamic Plants Using a Hierarchical Modular Approach and Type-2 Fuzzy Logic; Introduction; Background and Basic Concepts; Granular Computing; Type-2 Fuzzy Logic; GAs; Intelligent Control of Nonlinear Dynamic Plants Using a Hierarchical Modular Approach and Type-2 Fuzzy Logic; Automatic Design of Fuzzy Systems for Control of Aircraft Dynamic Systems with Genetic Optimization; Problem Description; PID and Fuzzy System for Longitudinal Control.
- Simulation ResultsHierarchical Genetic Algorithm for Optimal Type-2 Fuzzy System Design in the Shower Control; Problem Description; Fuzzy Control; Conclusions; References; No-Free-Lunch Result for Interval and Fuzzy Computing: When Bounds Are Unusually Good, Their Computation Is Unusually Slow; First Case Study: Interval Computations; Second Case Study: Fuzzy Computations; Third Case Study: When Computing Variance under Interval Uncertainty Is NP-Hard; Fourth Case Study: Kolmogorov Complexity; References.
- Intelligent Robust Control of Dynamic Systems with Partial Unstable Generalized Coordinates Based on Quantum Fuzzy InferenceIntroduction; Design Technology Knowledge Bases on Soft Computing; ICS Model Based on Quantum Fuzzy Inference; Simulation Results of Control Object with Partial Unstable General Coordinates; General Comparison of Control Quality of Designed Controllers; Conclusions; References; Type-2 Neuro-Fuzzy Modeling for a Batch Biotechnological Process; Introduction; Data and Substrate Model; Type-1 Neuro-Fuzzy Model; Model Structure; Model Estimates; Type-2 Neuro-Fuzzy Model.
- Learning and TestingConclusions; References; Assessment of Uncertainty in the Projective Tree Test Using an ANFIS Learning Approach; Introduction; Background; RAMSET Methodology; Tree Test Fuzzy Model; Tree Test ANFIS Fuzzy Model; Results; Conclusions; References; ACO-Tuning of a Fuzzy Controller for the Ball and Beam Problem; Introduction; Related Work; Ball and Beam System; Fuzzy Controller; Problem Description; Objective; Membership Function; Universe of Discourse; Ant Colony Optimization; ACO Algorithm; Heuristic Information; Pheromone; Building Solutions; Pheromone Trails.
- Experimental ResultsConclusions and Future Studies; References; Estimating Probability of Failure of a Complex System Based on Inexact Information about Subsystems and Components, with Potential Applications to Aircraft Maintenance; Formulation of the Problem; Simplest Case: Component Failures Are Independent and Failure Probabilities P(A) Are Exactly Known; Important Subcase of the Simplest Case: When Components Are Very Reliable; Monotonicity Case; In Practice, the Dependence Is Sometimes Non-monotonic.