Advances in Computational Intelligence 13th International Work Conference on Artificial Neural Networks IWANN 2015 Palma de Mallorca Spain June 10 12 2015 Proceedings Part II 1st Edition by Ignacio Rojas, Gonzalo Joya, Andreu Catala 3319192222 9783319192222

Advances in Computational Intelligence 13th International Work Conference on Artificial Neural Networks IWANN 2015 Palma de Mallorca Spain June 10 12 2015 Proceedings Part II 1st Edition by Ignacio Rojas, Gonzalo Joya, Andreu Catala  – Ebook PDF Instant Download/Delivery: 3319192222, 9783319192222
Full download Advances in Computational Intelligence 13th International Work Conference on Artificial Neural Networks IWANN 2015 Palma de Mallorca Spain June 10 12 2015 Proceedings Part II 1st Edition after payment

Product details:

ISBN 10: 3319192222 

ISBN 13: 9783319192222

Author: Ignacio Rojas, Gonzalo Joya, Andreu Catala 

Advances in Computational Intelligence 13th International Work Conference on Artificial Neural Networks IWANN 2015 Palma de Mallorca Spain June 10 12 2015 Proceedings Part II 1st Table of contents:

Developing Gene Classifier System for Autism Recognition
1 Introduction
2 Gene Selection Methods
2.1 Data Base of Autism
2.2 Initial Step
2.3 Selection Methods in the First Stage
2.4 Final Stage of Selection
3 Recognition of Autism
4 Results
5 Conclusions
References
A Distributed Feature Selection Approach Based on a Complexity Measure
1 Introduction
2 Methods
2.1 Distributed Feature Selection Algorithm
2.2 Experimental Setup
3 Experimental Results
3.1 Number of Selected Features
3.2 Classification Accuracy Results
3.3 Runtime
3.4 Case Study: Determining the Optimal Interval of Votes
4 Conclusions
References
Ensemble Feature Selection for Rankings of Features
1 Introduction
2 The Background
3 Ensemble Feature Selection
4 Experimental Study
5 Conclusions and Discussion
References
A Medical Case-Based Reasoning Approach Using Image Classification and Text Information for Recommen
1 Introduction
2 Related Works
3 Concept of DePicT CBR System
4 Recommendation Process
4.1 Visual Information from Image Representation
4.2 Strength of Word Associations Between Disease,Symptoms and Drugs
4.3 Case Matching and Selection
5 Conclusion and Future Work
References
Non Spontaneous Saccadic Movements Identification in Clinical Electrooculography Using Machine Learn
1 Introduction
2 Material and Methods
2.1 Signals Preprocessing
2.2 Detection of Impulses
2.3 Model Evaluation
3 Results
4 Conclusions
References
Applying a Hybrid Algorithm to the Segmentation of the Spanish Stock Market Index Time Series
1 Introduction
2 Hybrid Segmentation Algorithm
2.1 Summary of the Algorithm
2.2 Genetic Algorithm
2.3 Likelihood-Based Segmentation Algorithm
3 Experimental Results and Discussion
3.1 Spanish Stock Market Index Dataset
3.2 Experimental Setting
3.3 Discussion
4 Conclusions
References
Nonlinear Ordinal Logistic Regression Using Covariates Obtained by Radial Basis Function Neural Netw
1 Introduction
2 Proportional Odds Model (POM)
3 Artificial Neural Network (ANN) Model Used
4 Estimation of the Coefficients
5 Experiments
6 Conclusions
References
Energy Flux Range Classification by Using a Dynamic Window Autoregressive Model
1 Introduction
2 Brief Background
3 Data Source
4 Models Used for Prediction
5 Experiments
6 Conclusions
References
Automatic Eye Blink Detection Using Consumer Web Cameras
1 Introduction
1.1 Related Work
2 Research Methodology
2.1 Face Detection
2.2 Eye Detection
2.3 Feature Extraction
2.4 Classification
3 Experimental Results
3.1 Dataset
3.2 Results
4 Conclusions
References
Insights on the Use of Convolutional Neural Networks for Document Image Binarization
1 Introduction
2 Document Image Binarization
3 Convolutional Neural Networks
3.1 Convolutional Neural Networks for Image Binarization
4 Experimentation
4.1 Datasets: DIBCO and Santgall
4.2 Metrics and Evaluation
4.3 Topology and Parameters Setup
4.4 Overall Performance
5 Summary and Conclusions
References
A Genetic Algorithms-Based LSSVM Classifier for Fixed-Size Set of Support Vectors
1 Introduction
2 LSSVM Classifiers
3 Sparse Classifiers
3.1 Pruning LSSVM
3.2 IP-LSSVM
4 Genetic Algorithms
5 Proposal: Fixed-Size Genetic Algorithm for Sparse LSSVM (FSGAS-LSSVM)
5.1 Individuals or Chromosomes
5.2 Reproduction
5.3 Mutation
5.4 Fitness Function for FSGAS-LSSVM
5.5 FSGAS-LSSVM Algorithm
6 Simulations and Discussion
7 Conclusions
References
Ensemble of Minimal Learning Machines for Pattern Classification
1 Introduction
2 Minimal Learning Machine
2.1 Distance Regression
2.2 Output Estimation
2.3 Extension to Classification
3 Ensemble Strategies
3.1 Selecting Training Examples and Reference Points
3.2 Combination Strategies
4 Performance Evaluation
4.1 Comparisons with MLM
4.2 Comparisons with SVM, OP-ELM, BP, KNN and V-ELM
5 Conclusion
References
Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture
1 Introduction
2 Global Methodologies
2.1 Extreme Learning Machines
2.2 PRESS Statistics for Selecting the Optimal Number of Neurons
2.3 Gaussian Mixture Models
2.4 ELM-GMM
2.5 Refine the Training for GMM
3 Experiments
3.1 Datasets
3.2 Experimental Procedure
3.3 Results
3.4 Reevaluate Performance of Probability Classification Methods
4 Conclusions and Further Works
References
Modeling the EUR/USD Index Using LS-SVM and Performing Variable Selection
1 Introduction
2 Data Set Definition
3 Model Design
4 Feature Selection
5 Experiments
5.1 Defining Regressors and Data Sets
5.2 Variable Selection and Regression Results
6 Conclusions and Further Work
References
Embedded intelligent systems
Modeling Retina Adaptation with Multiobjective Parameter Fitting
1 Introduction
2 Retinal Circuitry for Contrast Adaptation
3 Parameter Fitting and Simulated Neural Response
4 Discussion
References
Stochastic-Based Implementation of Reservoir Computers
1 Introduction
2 Stochastic Computing
2.1 Basic Operations
2.2 Data Conversion
2.3 Neural Network Implementation
3 Results
4 Discussion
References
FPGA Implementation Comparison Between C-Mantec and Back-Propagation Neural Network Algorithms
1 Introduction
2 Algorithms Description and Implementation Details
2.1 The Back-Propagation Algorithm
2.2 The Constructive Neural Network Algorithm C-Mantec
3 Results
4 Conclusion
References
Expert Systems
Logic Programming and Artificial Neural Networks in Breast Cancer Detection
1 Introduction
2 Knowledge Representations and Reasoning
3 A Case Study
4 Artificial Neural Networks
5 Conclusions and Future Work
References
An ANFIS-Based Fault Classification Approach in Double-Circuit Transmission Line Using Current Sampl
1 Introduction
2 Fault Classification Methodology
3 ANFIS Basic Concepts
4 Simulation and Discussion of the Results
5 Conclusion
References
Evolutionary Hybrid Configuration Applied to a Polymerization Process Modelling
1 Introduction
2 Database
3 Differential Evolution and Clonal Selection Based Optimization Procedure
3.1 Differential Evolution
3.2 Clonal Selection
3.3 DE-CS-ANN
4 Results and Discussion
5 Conclusions
References
Multi-layer Perceptrons for Voxel-Based Classification of Point Clouds from Natural Environments
1 Introduction
2 Data Structures for the Voxel Map
3 Neural Networks for a Voxel-Based Classification
3.1 Geometric Features Extraction
3.2 Approximating Bayes’ Decision Rule by Neural Networks
3.3 The MLP-Based Model
4 Experiments and Results
5 Conclusions
References
An Improved RBF Neural Network Approach to Nonlinear Curve Fitting
1 Introduction
2 Methodology
2.1 Definition of Curve Fitting Problem
2.2 RBF Neural Networks with Additional Linear Neuron
2.3 Numerical Examples
3 Experimental Results and Discussion
4 Conclusions
References
QSVM: A Support Vector Machine for Rule Extraction
1 Introduction
2 The DIMLP Model
2.1 IMLP Networks
2.2 DIMLP Networks and Ensembles
2.3 QSVM
3 Experiments
3.1 Models and Learning Parameters
3.2 Results
3.3 An Example of Extracted Ruleset
3.4 Discussion
4 Conclusion
References
Multiwindow Fusion for Wearable Activity Recognition
1 Introduction
2 Multiwindow Fusion
3 Results and Discussion
3.1 Experimental Setup
3.2 Multiwindow Fusion Evaluation
4 Conclusions
References
Ontological Sensor Selection for Wearable Activity Recognition
1 Introduction
2 Related Work
3 SS4RWWAR Ontology
4 SS4RWWAR Ontology-Based Sensor Selection Method
5 Conclusions
References
Short-Term Spanish Aggregated Solar Energy Forecast
1 Introduction
2 Problem Description
2.1 Clear-Sky Radiation
2.2 Forecasted Irradiation
2.3 Weighted Irradiation
2.4 Weighted Cloudiness
3 Data Acquisition
4 Methodology
5 Results
6 Conclusions
References
Intelligent Presentation Skills Trainer Analyses Body Movement
1 Introduction
2 Nonverbal Behaviour of Presenters
3 Automatic Feedback System
3.1 Recognition of Nonverbal Cues
Eye Contact.
Amount of Global Movement and Hand Gesture.
Direction of Global Movement.
Body Posture.
Assessment of the Whole Presentation.
The Two Methods of Giving Feedbacks.
References
Performing Variable Selection by Multiobjective Criterion: An Application to Mobile Payment
1 Introduction
2 Data Compilation
3 Criteria for Variable Selection
3.1 Mutual Information
3.2 Delta Test
3.3 MultiObjetive Criteria: MOmaxMI or MOminDT
4 Experiments
5 Conclusions and Further Work
References
Advances in Computational Intelligence
Aggregation of Partial Rankings – An Approach Based on the Kemeny Ranking Problem
1 Introduction
2 Extending the Kemeny Ranking Problem
2.1 Measuring the Distance Between Two Objects
3 Ant Colony Optimization
3.1 Ant System
3.2 Ant Colony System
3.3 MAX-MIN Ant System
4 Estimating the Heuristic Information
4.1 Aggregation of Multiple top-k Rankings
4.2 Aggregation of Multiple Top-k Rankings
5 Numerical Simulations
5.1 First Scenario: Each Respondent rl Selects the Top-kl Factors
5.2 Second Scenario: Each Respondent Rl Selects the Top-kl Factors
6 Conclusions
References
Existence and Synthesis of Complex Hopfield Type Associative Memories
1 Introduction
2 Hopfield Neural Network: Review of Research Literature
3 Existence and Synthesis of a Complex Valued Hopfield Neural Network
4 Synthesis of Complex Hopfield Type Associative Memories
5 Conclusion
References
On Acceleration of Incremental Learning in Chaotic Neural Network
1 Introduction
2 Chaotic Neural Networks and Incremental Learning
3 Simulations with Simplified Network
3.1 Capacity
3.2 Neurons Which Learn
3.3 Input Period
3.4 Noisy Inputs
3.5 Adjusted Network
3.6 Varying the Learning Parameter
4 Conclusion
References
Comparing Optimization Methods, in Continuous Space, for Modelling with a Diffusion Process
1 Introduction
2 Methods
2.1 Iterative Method
2.2 Newton-Raphson Based Algorithm
2.3 Variable Neighbourhooh Search
2.4 Simulated Annealing
2.5 Evolutionary Algorithm
3 Simulated Paths Study
4 Conclusions
References
Estimating Artificial Neural Networks with Generalized Method Moments
1 Introduction
2 GMM for ANN
2.1 GMM Overview
2.2 Moment Conditions for ANNs
3 Monte Carlo Simulation
3.1 Data Generation
3.2 Competitor Methods
3.3 Comparison Criterion
3.4 Results
4 Conclusion
References
Appendix A Generating the Grid of {vecωm}M geq m geq1
Appendix B Details of the GMM Estimation
An Hybrid Ensemble Method Based on Data Clustering and Weak Learners Reliabilities Estimated Through
1 Introduction
2 Ensemble Methods and Models Reliability Estimation
3 An Hybrid Ensemble Method Based on Learners Reliability Estimated Through ANNs
3.1 HyEM Training Procedure
3.2 HyEM Simulation Procedure
4 Test of the Proposed Approach
5 Conclusions and Future Work
References
Conventional Prediction vs Beyond Data Range Prediction of Loss Coefficient for Quarter Circle Break
1 Introduction
2 Methodology of Adaptive Neuro Fuzzy Interface System (ANFIS)
3 Data Collection and Usage
4 Results and Discussion
5 Conclusions
References

People also search for Advances in Computational Intelligence 13th International Work Conference on Artificial Neural Networks IWANN 2015 Palma de Mallorca Spain June 10 12 2015 Proceedings Part II 1st:

international joint conference on advances in computational intelligence

journal of advances in computational intelligence theory
 
recent advances in computational intelligence and cyber security
 
recent advances in computational intelligence
 
advances in computational intelligence and robotics book series

Tags: Advances, Computational Intelligence, Work Conference, Neural Networks, Mallorca Spain, Ignacio Rojas, Gonzalo Joya, Andreu Catala