Computational Intelligence and Neuroscience

Simulations of Myenteric Neuron Dynamics in Response to Mechanical Stretch

An Initial Alignment Technology of Shearer Inertial Navigation Positioning Based on a Fruit Fly-Optimized Kalman Filter Algorithm

Retinal Vessel Segmentation by Deep Residual Learning with Wide Activation

The Time Course of Perceptual Closure of Incomplete Visual Objects: An Event-Related Potential Study

Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles

Air Pollutant Concentration Forecasting Using Long Short-Term Memory Based on Wavelet Transform and Information Gain: A Case Study of Beijing

Green Supplier Selection Using Fuzzy Multiple-Criteria Decision-Making Methods and Artificial Neural Networks

A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm

Adaptive Neural Backstepping Sliding Mode Heading Control for Underactuated Ships with Drift Angle and Ship-Bank Interaction

Multipose Face Recognition-Based Combined Adaptive Deep Learning Vector Quantization

Effect of Emotion on Prospective Memory in Those of Different Age Groups

On Modeling the Earthquake Insurance Data via a New Member of the T-X Family

Comparison and Validation of Deep Learning Models for the Diagnosis of Pneumonia

Student Enrollment and Teacher Statistics Forecasting Based on Time-Series Analysis

Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes

Computational Intelligence and Neuroscience

Table of Contents

Table of Contents: 2020

Simulations of Myenteric Neuron Dynamics in Response to Mechanical Stretch

An Initial Alignment Technology of Shearer Inertial Navigation Positioning Based on a Fruit Fly-Optimized Kalman Filter Algorithm

Retinal Vessel Segmentation by Deep Residual Learning with Wide Activation

The Time Course of Perceptual Closure of Incomplete Visual Objects: An Event-Related Potential Study

Learning-Based Lane-Change Behaviour Detection for Intelligent and Connected Vehicles

Air Pollutant Concentration Forecasting Using Long Short-Term Memory Based on Wavelet Transform and Information Gain: A Case Study of Beijing

Green Supplier Selection Using Fuzzy Multiple-Criteria Decision-Making Methods and Artificial Neural Networks

A Search History-Driven Offspring Generation Method for the Real-Coded Genetic Algorithm

Adaptive Neural Backstepping Sliding Mode Heading Control for Underactuated Ships with Drift Angle and Ship-Bank Interaction

Multipose Face Recognition-Based Combined Adaptive Deep Learning Vector Quantization

Effect of Emotion on Prospective Memory in Those of Different Age Groups

On Modeling the Earthquake Insurance Data via a New Member of the T-X Family

Comparison and Validation of Deep Learning Models for the Diagnosis of Pneumonia

Student Enrollment and Teacher Statistics Forecasting Based on Time-Series Analysis

Turing Universality of Weighted Spiking Neural P Systems with Anti-spikes