My Account Log in

1 option

Advances in Soft Computing : 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, Guadalajara, Mexico, October 22-27, 2018, Proceedings, Part I / edited by Ildar Batyrshin, María de Lourdes Martínez-Villaseñor, Hiram Eredín Ponce Espinosa.

SpringerLink Books Computer Science (2011-2024) Available online

View online
Format:
Book
Contributor:
Batyrshin, Ildar, Editor.
Martínez-Villaseñor, María de Lourdes, Editor.
Ponce Espinosa, Hiram Eredín., Editor.
SpringerLink (Online service)
Series:
Computer Science (SpringerNature-11645)
Lecture notes in computer science. Lecture notes in artificial intelligence 2945-9141 ; 11288
Lecture Notes in Artificial Intelligence, 2945-9141 ; 11288
Language:
English
Subjects (All):
Artificial intelligence.
Data mining.
Computers, Special purpose.
Computer vision.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Special Purpose and Application-Based Systems.
Computer Vision.
Local Subjects:
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Special Purpose and Application-Based Systems.
Computer Vision.
Physical Description:
1 online resource (XXIII, 437 pages) : 143 illustrations, 94 illustrations in color.
Edition:
1st ed. 2018.
Contained In:
Springer Nature eBook
Place of Publication:
Cham : Springer International Publishing : Imprint: Springer, 2018.
System Details:
text file PDF
Summary:
The two-volume set LNAI 11288 and 11289 constitutes the proceedings of the 17th Mexican International Conference on Artificial Intelligence, MICAI 2018, held in Guadalajara, Mexico, in October 2018. The total of 62 papers presented in these two volumes was carefully reviewed and selected from 149 submissions. The contributions are organized in topical as follows: Part I: evolutionary and nature-inspired intelligence; machine learning; fuzzy logic and uncertainty management. Part II: knowledge representation, reasoning, and optimization; natural language processing; and robotics and computer vision.
Contents:
Evolutionary and Nature-Inspired Intelligence
A Genetic Algorithm to Solve Power System Expansion Planning With Renewable Energy
Memetic Algorithm for constructing Covering Arrays of variable strength based on Global-best Harmony Search and Simulated Annealing
An Adaptive Hybrid Evolutionary Approach for a Project Scheduling Problem that Maximizes the Effectiveness of Human Resources
Best Paper award, first place: Universal Swarm Optimizer for Multi-Objective Functions
Broadcasting and sharing of parameters in an IoT network by means of a Fractal of Hilbert using Swarm Intelligence
Solid waste collection in Ciudad Universitaria-UNAM using a VRP approach and Max-Min Ant System algorithm
Selection of Characteristics and Classification of Microarrays using Bioinspired Algorithms and Generalized Neuron
Supervised and unsupervised neural networks: Experimental study for anomaly detection in electrical consumption
Artificial neural networks and common spatial patterns for the recognition of motor information from EEG signals
Classification of Motor Imagery EEG Signals with CSP filtering through Neural Networks Models
Efficiency Analysis of article Tracking with Synthetic PIV using SOM
Machine Learning
Transforming Mixed Data Bases for Machine Learning: A Case Study
Full model selection in huge datasets and for proxy models construction
Single imputation methods applied to a global geothermal database
Feature Selection for Automatic Classification of Gamma-ray and Background Hadron Events with Different Noise Levels
Ranking based Unsupervised Feature Selection Methods: an Empirical Comparative Study in High Dimensional Datasets
Dynamic Selection Feature Extractor for Trademark Retrieval
Bayesian Chain Classifier with Feature Selection for Multi-label Classification
A Time Complexity Analysis to the ParDTLT Parallel Algorithm for Decision Tree Induction
Infrequent Item-to-item Recommendation via Random Fields
An approach based on contrast patterns for bot detection on web log files
User recommendation in low degree networks with a learning-based approach
Volcanic anomalies detection through Recursive Density Estimation
A Rainfall Prediction Tool for Sustainable Agriculture Using Random Forest
Kolb's Learning styles, learning activities and academic performance in a Massive Private Online Course
Tremor Signal Analysis for Parkinson's Disease Detection Using Leap Motion Device
Fuzzy Logic and Uncertainty Management
Modeling Decisions for Project Scheduling Optimization Problem Based on Type-2 Fuzzy Numbers
Differential Evolution algorithm using a dynamic crossover parameter with a high-speed interval type 2 fuzzy system
Allocation Centers Problem on Fuzzy Graphs with Largest Vitality Degree
Fuzzy Design of Nearest Prototype Classifier
A Fuzzy Harmony Search algorithm for the optimization of a Benchmark set of functions
An Innovative and Improved Mamdani Inference (IMI) Method
A General Method for Consistency Improving in Decision-Making Under Uncertainty.
Other Format:
Printed edition:
ISBN:
978-3-030-04491-6
9783030044916
Access Restriction:
Restricted for use by site license.

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account