Soft Computing in Artificial Intelligence

Soft Computing in Artificial Intelligence Cho Y.I., Kim D., Matson E.T. (eds.)
Издательство Springer, 2014, -157 pp.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 it. This edition provides readers with the most recent progress and novel solutions in artificial intelligence. This book aims at presenting the research results and solutions of applications in relevance with artificial intelligence technologies. We propose to researchers and practitioners some methods to advance the intelligent systems and apply artificial intelligence to specific or general purpose. This book consists of 13 contributions that feature fuzzy (r, s)-minimal preand β-open sets, handling big coocurrence matrices, Xie-Beni-type fuzzy cluster validation, fuzzy c-regression models, combination of genetic algorithm and ant colony optimization, building expert system, fuzzy logic and neural network, individual role adaptation for team sports, application of polynomial neural networks, recursive neurofuzzy algorithm for water management, application of interactive genetic algorithm, and Artificial Neural Network (ANN) model. This edition is published in original, peer reviewed contributions covering from initial design to final prototypes and verifications.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 CooccurrenceMatrices in Fuzzy Co-clustering by Sampling Approaches Xie-Beni-Type Fuzzy Cluster Validation in Fuzzy Co-clustering of Documents and Keywords Fuzzy c-Regression Models Based on Optimal Scaling of Categorical Observation with Tolerance Combination of Genetic Algorithm and Ant Colony Optimization for QoS Multicast Routing 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 between Roles and Individual’s Role Adaptation in Team Sports Using SOM: Data Analysis and Introduction of Theory Design of Radial Basis Function Classifier Based on Polynomial Neural Networks 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 Categories:
Computers – Cybernetics
Language:
english
Pages:
157
ISBN 10:
3319055151
ISBN 13:
9783319055152
File:
94 MB