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Neural Processing Letters （NPL） - October 2017, issue 2 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： October 2017, issue 2
发布时间：
卷期年份： 2017
卷期官网： https://link.springer.com/journal/11063/volumes-and-issues/46-2
本期论文列表
A New Evolving Tree-Based Model with Local Re-learning for Document Clustering and Visualization

Optimization Based Clustering Algorithms for Authorship Analysis of Phishing Emails

Graph-Regularized Local Coordinate Concept Factorization for Image Representation

New Criteria on Exponential Lag Synchronization of Switched Neural Networks with Time-Varying Delays

Delay-Dependent Passivity and Stability Analysis for a Class of Memristor-Based Neural Networks with Time Delay in the Leakage Term

New Results for Impulsive Recurrent Neural Networks with Time-Varying Coefficients and Mixed Delays

Exponential Stability of Weighted Pseudo Almost Periodic Solutions for HCNNs with Mixed Delays

A Novel Generalized Fuzzy Canonical Correlation Analysis Framework for Feature Fusion and Recognition

The Sampled-data Exponential Stability of BAM with Distributed Leakage Delays

Encoding and Decoding Neural Population Signals for Two-Dimensional Stimulus

Finite-time Stability of Fractional-order Complex-valued Neural Networks with Time Delays

Cascaded Convolutional Neural Networks for Aspect-Based Opinion Summary

Normalised Spline Adaptive Filtering Algorithm for Nonlinear System Identification

Efficient Color Texture Classification Using Color Monogenic Wavelet Transform

Robust Visual Tracking via Binocular Consistent Sparse Learning

An Adaptive Extreme Learning Machine for Modeling NOx Emission of a 300 MW Circulating Fluidized Bed Boiler

Recurrent High Order Neural Observer for Discrete-Time Non-Linear Systems with Unknown Time-Delay

Scene Classification Using Multi-Resolution WAHOLB Features and Neural Network Classifier

Multivariate Chaotic Time Series Prediction Based on ELM–PLSR and Hybrid Variable Selection Algorithm

Pseudo-Almost Periodic Solution on Time-Space Scales for a Novel Class of Competitive Neutral-Type Neural Networks with Mixed Time-Varying Delays and Leakage Delays