Computational Intelligence and Neuroscience

Bag of Visual Words Model with Deep Spatial Features for Geographical Scene Classification

Random Forest-Based Approach for Maximum Power Point Tracking of Photovoltaic Systems Operating under Actual Environmental Conditions

Forest Pruning Based on Branch Importance

A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features

Dynamic Inertia Weight Binary Bat Algorithm with Neighborhood Search

Antiherding in Financial Decision Increases Valuation of Return on Investment: An Event-Related Potential Study

A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization

Cloud Model-Based Artificial Immune Network for Complex Optimization Problem

Applications of Computational Intelligence in Time Series

Deep Learning for Plant Identification in Natural Environment

Robust Grape Detector Based on SVMs and HOG Features

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment

Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS

Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents: 2017

Bag of Visual Words Model with Deep Spatial Features for Geographical Scene Classification

Random Forest-Based Approach for Maximum Power Point Tracking of Photovoltaic Systems Operating under Actual Environmental Conditions

Forest Pruning Based on Branch Importance

A Combined One-Class SVM and Template-Matching Approach for User-Aided Human Fall Detection by Means of Floor Acoustic Features

Dynamic Inertia Weight Binary Bat Algorithm with Neighborhood Search

Antiherding in Financial Decision Increases Valuation of Return on Investment: An Event-Related Potential Study

A Swarm Optimization Genetic Algorithm Based on Quantum-Behaved Particle Swarm Optimization

Cloud Model-Based Artificial Immune Network for Complex Optimization Problem

Applications of Computational Intelligence in Time Series

Deep Learning for Plant Identification in Natural Environment

Robust Grape Detector Based on SVMs and HOG Features

Refining Automatically Extracted Knowledge Bases Using Crowdsourcing

Development of a Novel Motor Imagery Control Technique and Application in a Gaming Environment

Comparison of Brain Activation during Motor Imagery and Motor Movement Using fNIRS

Improving Classification Performance through an Advanced Ensemble Based Heterogeneous Extreme Learning Machines