Screen LibraryRecent advances on hybrid intelligent systems /
This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including...
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| Corporate Authors: | |
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| Group Author: | ; ; |
| Published: |
Springer,
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| Publisher Address: | Berlin ; New York : |
| Publication Dates: | 2013. |
| Literature type: | eBook |
| Language: | English |
| Series: |
Studies in computational intelligence,
451 |
| Subjects: | |
| Online Access: |
http://dx.doi.org/10.1007/978-3-642-33021-6 |
| Summary: |
This book presents recent advances on hybrid intelligent systems using soft computing techniques for intelligent control and robotics, pattern recognition, time series prediction and optimization of complex problems. Soft Computing (SC) consists of several intelligent computing paradigms, including fuzzy logic, neural networks, and bio-inspired optimization algorithms, which can be used to produce powerful hybrid intelligent systems. The book is organized in five main parts, which contain groups of papers around a similar subject. The first part consists of papers with the main theme of hybrid intelligent systems for control and robotics, which are basically state of the art papers that propose new models and concepts, which can be the basis for achieving intelligent control and mobile robotics. The second part contains papers with the main theme of hybrid intelligent systems for pattern recognition and time series prediction, which are basically papers using nature-inspired techniques, like evolutionary algorithms, fuzzy logic and neural networks, for achieving efficient pattern recognition or time series prediction. The third part contains papers with the theme of bio-inspired and genetic optimization methods, which basically consider the proposal of new methods and applications of bio-inspired optimization to solve complex optimization of real problems. The fourth part contains papers that deal with the application of intelligent optimization techniques in real world problems in scheduling, planning and manufacturing. The fifth part contains papers with the theme of evolutionary methods and intelligent computing, which are papers considering soft computing methods for applications related to diverse areas, such as natural language processing, recommending systems and optimization. |
| Carrier Form: | 1 online resource. |
| Bibliography: | Includes bibliographical references and author index. |
| ISBN: |
9783642330216 (electronic bk.) 3642330215 (electronic bk.) |
| Index Number: | Q335 |
| CLC: | TP18 |
| Contents: |
Optimization of a Fuzzy Tracking Controller for an Autonomous Mobile Robot under Perturbed Torques by Means of a Chemical Optimization Paradigm / Evolutionary Optimization of the Fuzzy Integrator in a Navigation System for a Mobile Robot / Particle Swarm Optimization for Average Approximation of Interval Type-2 Fuzzy Inference Systems Design in FPGAs for Real Applications / Genetic Optimization of Membership Functions in Modular Fuzzy Controllers for Complex Problems / Designing Systematic Stable Fuzzy Logic Controllers by Fuzzy Lyapunov Synthesis / Design of Fuzzy Control Systems with Different PSO Variants / Methodology to Design Fuzzy Logic Controller for Soft-Core Embedded into FPGA / Optimization of Membership Functions for Type-1 and Type 2 Fuzzy Controllers of an Autonomous Mobile Robot Using PSO / Multi-Objective Hierarchical Genetic Algorithm for Modular Neural Network Optimization Using a Granular Approach / An Analysis on the Intrinsic Implementation of the Principle of Justifiable Granularity in Clustering Algorithms / Mental Tasks Temporal Classification Using an Architecture Based on ANFIS and Recurrent Neural Networks / Interval Type-2 Fuzzy System for Image Edge Detection Quality Evaluation Applied to Synthetic and Real Images / Genetic Optimization of Type-2 Fuzzy Weight Adjustment for Backpropagation in Ensemble Neural Network / A New Method for Type-2 Fuzzy Integration in Ensemble Neural Networks Based on Genetic Algorithms / A Hand Geometry Biometric Identification System Utilizing Modular Neural Networks with Fuzzy Integration / Development of an Automatic Method for Classification of Signatures in a Recognition System Based on Modular Neural Networks / Architecture of Modular Neural Network in Pattern Recognition / Comparative Study of Particle Swarm Optimization Variants in Complex Mathematics Functions / A Method to Solve the Traveling Salesman Problem Using Ant Colony Optimization Variants with Ant Set Partitioning / Particle Swarm Optimization with Dynamic Parameter Adaptation Using Fuzzy Logic for Benchmark Mathematical Functions / Dynamic Fuzzy Logic Parameter Tuning for ACO and Its Application in TSP Problems / Using Immunogenetic Algorithms for Solving Combinatorial Optimization Problems / Comparison of Metaheuristic Algorithms with a Methodology of Design for the Evaluation of Hard Constraints over the Course Timetabling Problem / Path Planning Using Clonal Selection Algorithm / Bio-inspired Optimization Methods on Graphic Processing Unit for Minimization of Complex Mathematical Functions / Variants of Ant Colony Optimization: A Metaheuristic for Solving the Traveling Salesman Problem / Memetic Algorithm for Solving the Problem of Social Portfolio Using Outranking Model / Evolving Bin Packing Heuristic Using Micro-Differential Evolution with Indirect Representation / Improving the Performance of Heuristic Algorithms Based on Exploratory Data Analysis / An Interactive Decision Support System Framework for Social Project Portfolio Selection / Constructive Algorithm for a Benchmark in Ship Stowage Planning / Small Hydroponics Garden Improved Using Cultural Algorithms / Handling of Synergy into an Algorithm for Project Portfolio Selection / Practical Aspects on the Implementation of Iterative ANN Models on GPU Technology / High Performance Architecture for NSGA-II / Natural Language Interfaces to Databases: An Analysis of the State of the Art / A Genetic Algorithm for the Problem of Minimal Brauer Chains / Type-2 Fuzzy Grammar in Language Evolution / Experimental Study of a New Algorithm-Design-Framework Based on Cellular Computing / Restaurant Recommendations Based on a Domain Model and Fuzzy Rules / User Modeling for Interactive Evolutionary Computation Applications Using Fuzzy Logic / Personalization of Learning Object Sequencing and Deployment in Intelligent Learning Environments / |