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Neural Processing Letters （NPL） - August 2020, issue 1 论文列表

点击这里查看 Neural Processing Letters 的JCR分区、影响因子等信息
卷期号： August 2020, issue 1
发布时间：
卷期年份： 2020
卷期官网： https://link.springer.com/journal/11063/volumes-and-issues/52-1
本期论文列表
Computational Intelligence Methods for Time Series Analysis and Forecasting: Special Issue of IWANN 2017

Application of Quantile Graphs to the Automated Analysis of EEG Signals

Fuzzy Time Series Models Using Pliant- and Asymptotically Pliant Arithmetic-Based Inference

Ordinal Multi-class Architecture for Predicting Wind Power Ramp Events Based on Reservoir Computing

A Multi-resolution Approximation for Time Series

Machine Learning Nowcasting of PV Energy Using Satellite Data

An Evaluation of Equity Premium Prediction Using Multiple Kernel Learning with Financial Features

Time Series, Spectral Densities and Robust Functional Clustering

Binary Output Layer of Extreme Learning Machine for Solving Multi-class Classification Problems

Deep Learning Neural Network for Unconventional Images Classification

A Context Based Deep Temporal Embedding Network in Action Recognition

Optimal Control Based on Neuro Estimator for Fractional Order Uncertain Non-linear Continuous-Time Systems

GM-CPSO: A New Viewpoint to Chaotic Particle Swarm Optimization via Gauss Map

Remerging Feigenbaum Trees, Coexisting Behaviors and Bursting Oscillations in a Novel 3D Generalized Hopfield Neural Network

Finite-Time Synchronization of Hybrid-Coupled Delayed Dynamic Networks via Aperiodically Intermittent Control

Dual-Path Part-Level Method for Visible–Infrared Person Re-identification

Semantic Image Segmentation with Improved Position Attention and Feature Fusion

Learning Stable Robust Adaptive NARMA Controller for UAV and Its Application to Twin Rotor MIMO Systems

Spikes and Nets (S&N): A New Fast, Parallel Computing, Point Process Software for Multineuronal Discharge and Connectivity Analysis

Quantized Control for Synchronization of Delayed Fractional-Order Memristive Neural Networks

An Enhanced Extreme Learning Machine Based on Liu Regression

Fukunaga–Koontz Convolutional Network with Applications on Character Classification

Unsupervised Domain Adaptation via Discriminative Classes-Center Feature Learning in Adversarial Network

Fixed-Time Lag Synchronization Analysis for Delayed Memristor-Based Neural Networks

Fast and Memory-Efficient Import Vector Domain Description

Global Exponential Stability of Hybrid Non-autonomous Neural Networks with Markovian Switching

Path Capsule Networks

Adaptive Sampled-Data Observer Design for a Class of Nonlinear Systems with Unknown Hysteresis

Latent-MVCNN: 3D Shape Recognition Using Multiple Views from Pre-defined or Random Viewpoints

Fractional Order Echo State Network for Time Series Prediction

PSSA: Polar Coordinate Salp Swarm Algorithm for Curve Design Problems

Anti-synchronization of a Class Of Fuzzy Memristive Competitive Neural Networks with Different Time Scales

Wireless Sensor Network Based Smart Grid Supported by a Cognitively Driven Load Management Decision Making

A Novel Technique for Segmentation of High Resolution Remote Sensing Images Based on Neural Networks

GrasNet: A Simple Grassmannian Network for Image Set Classification

Li-Function Activated Zhang Neural Network for Online Solution of Time-Varying Linear Matrix Inequality

A New Supervised Clustering Framework Using Multi Discriminative Parts and Expectation–Maximization Approach for a Fine-Grained Animal Breed Classification (SC-MPEM)

An Improved Crow Search Algorithm for Test Data Generation Using Search-Based Mutation Testing

Intra-layer Synchronization in Duplex Networks with Time-Varying Delays and Stochastic Perturbations Under Impulsive Control

Multilayer Convolutional Neural Network to Filter Low Quality Content from Quora

SAOSA: Stable Adaptive Optimization for Stacked Auto-encoders

Multi-geometric Sparse Subspace Clustering

Semi-supervised Learning Algorithm Based on Linear Lie Group for Imbalanced Multi-class Classification

Consistent Discriminant Correlation Analysis

Graph-Theoretic Approach to Finite-Time Synchronization for Fuzzy Cohen–Grossberg Neural Networks with Mixed Delays and Discontinuous Activations