Neural Information Processing : 30th International Conference, ICONIP 2023, Changsha, China, November 20–23, 2023, Proceedings, Part I / edited by Biao Luo, Long Cheng, Zheng-Guang Wu, Hongyi Li, Chaojie Li.

Format:

Book

Contributor:

Luo, Biao, editor.

Series:

Lecture Notes in Computer Science, 1611-3349 ; 14447

Language:

English

Subjects (All):

Pattern recognition systems.

Data mining.

Machine learning.

Social sciences--Data processing.

Social sciences.

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Machine Learning.

Computer Application in Social and Behavioral Sciences.

Local Subjects:

Automated Pattern Recognition.

Data Mining and Knowledge Discovery.

Machine Learning.

Computer Application in Social and Behavioral Sciences.

Physical Description:

1 online resource (614 pages)

Edition:

1st ed. 2024.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2024.

Summary:

The six-volume set LNCS 14447 until 14452 constitutes the refereed proceedings of the 30th International Conference on Neural Information Processing, ICONIP 2023, held in Changsha, China, in November 2023. The 652 papers presented in the proceedings set were carefully reviewed and selected from 1274 submissions. They focus on theory and algorithms, cognitive neurosciences; human centred computing; applications in neuroscience, neural networks, deep learning, and related fields. .

Contents:

Theory and Algorithms

Single Feedback Based Kernel Generalized Maximum Correntropy Adaptive Filtering Algorithm

Application of Deep learning methods in the Diagnosis of Coronary Heart Disease based on Electronic Health Record

Learning Adaptable Risk-Sensitive Policies to Coordinate in Multi-Agent General-Sum Games

Traffic Data Recovery and Outlier Detection based on Non-Negative Matrix Factorization and Truncated-Quadratic Loss Function

ADEQ: Adaptive Diversity Enhancement for Zero-shot Quantization

ASTPSI: Allocating Spare Time and Planning Speed Interval for Intelligent Train Control of Sparse Reward

Amortized variational inference via Nos\'e-Hoover Thermostat Hamiltonian Monte Carlo

AM-RRT*: An Automatic Robot Motion Planning Algorithm based on RRT

MS3DAAM: Multi-scale 3-D Analytic Attention Module for Convolutional Neural Networks

Nonlinear Multiple-delay Feedback Based Kernel Least Mean Square Algorithm

AGGDN: A Continuous Stochastic Predictive Model for Monitoring Sporadic Time Series on Graphs

Attribution Guided Layerwise Knowledge Amalgamation from Graph Neural Networks

Distributed Neurodynamic Approach for Optimal Allocation with Separable Resource Losses

Multimodal Isotropic Neural Architecture with Patch Embedding

Determination of local and global decision weights based on fuzzy modeling

Binary Mother Tree Optimization Algorithm for 0/1 Knapsack Problem

Distributed State Estimation for Multi-Agent Systems Under Consensus Control

Integrated Design of Fully Distributed Adaptive State Estimation and Consensus Control for Multi-Agent Systems

Computer Simulations of Applying Zhang Inequation Equivalency and Solver of Neurodynamics to Redundant Manipulators at Acceleration Level

High-order control barrier function based robust collision avoidance formation tracking of constrained multi-agent systems

Decision Support System based on MLP: Formula One (F1) Grand Prix Study Case

Theoretical Analysis of Gradient-ZhangNeural Network for Time-Varying Equations and Improved Method for Linear Equations

EdgeMA: Model Adaptation System for Real-Time Video Analytics on Edge Devices

Mastering Complex Coordination through Attention-based Dynamic Graph

SORA: Improving Multi-agent Cooperation with a Soft Role Assignment Mechanism

Outer Synchronization for Multi-Derivative Coupled Complex Networks with and without External Disturbance

A Distributed Projection-based Algorithm with Local Estimators for Optimal Formation of Multi-robot System

A Stochastic Gradient-based Projection Algorithm for Distributed Constrained Optimization

FalconNet: Factorization for the Light-weight ConvNets

An Interactive Evolutionary Algorithm for Ceramic Formula Design

Using Less But Important Information for Feature Distillation

Efficient Mobile Robot Navigation Based on Federated Learning and Three-way Decisions

GCM-FL: A Novel Granular Computing Model in Federated Learning for Fault Diagnosis

Adaptive loadfrequency control and optimization based on TD3 algorithm and linear active disturbance rejection control

Theory-guided Convolutional Neural Network with an Enhanced Water Flow Optimizer

An End-to-End Dense Connected Heterogeneous Graph Convolutional Neural Network

Actor-Critic with variable time discretization via sustained actions

Scalable Bayesian Tensor Ring Factorization for Multiway Data Analysis

Predefined-Time Event-Triggered Consensus for Nonlinear Multi-Agent Systems with Uncertain Parameter

Cascaded fuzzy PID control for quadrotor UAVs based on RBF neural networks

Generalizing Graph Network Models for the Traveling Salesman Problem with Lin-Kernighan-Helsgaun Heuristics

Communication-Efficient Distributed Minimax Optimization via Markov Compression

Multi-Level Augmentation Boosts Hybrid CNN-Transformer Model for Semi-Supervised Cardiac MRI Segmentation

Wasserstein Diversity-Enriched Regularizer for Hierarchical Reinforcement Learning

An Adaptive Detector for Few Shot Object Detection.

Other Format:

Print version: Luo, Biao Neural Information Processing

ISBN:

981-9980-79-8