Información de la conferencia
BNNIO 2026: International Symposium on Biological Neural Networks and Intelligent Optimization
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Día de Entrega: |
2025-12-13 |
Fecha de Notificación: |
2025-12-18 |
Fecha de Conferencia: |
2026-01-16 |
Ubicación: |
Zhuhai, China |
Vistas: 1950 Seguidores: 0 Asistentes: 0
Solicitud de Artículos
The topics of interest for submission include, but are not limited to:
Artificial Intelligence
Artificial intelligence
Artificial neural network
Deep learning
Natural language processing
Computer vision
Knowledge graph construction
Interpretable machine learning
Embodied intelligence
Neural Network
Deep neural networks
Convolutional neural networks
Generative adversarial networks
Recurrent neural networks
Neural network structures
Neural-symbolic hybrid models
Explainability and visualisation methods for neural networks
Neural networks in analysis and research in fields such as medicine, finance, and energy
Biological Neural Networks
Convolutional Neural Networks (CNN) in Image Processing
Recurrent Neural Networks (RNN) and Their Applications in Sequence Data
Autoencoders and Generative Models
Neural Networks in Natural Language Processing (NLP)
Neural Networks in Medical Image Analysis
Neural Networks in Bioinformatics
Neuronal Dynamics and Electrophysiological Properties
Synaptic Plasticity Mechanisms and Learning Regulation
Neural Circuit Structure and Functional Dynamics
Brain-inspired neuromorphic computing and plasticity decoding
Decoding of biological neural signals and brain-computer interfaces
Intelligent Optimisation
Evolutionary Algorithms
Swarm Intelligence
Machine Learning
Reinforcement Learning
Theory and Applications of Evolutionary Optimisation Algorithms
Swarm Intelligence and Cooperative Optimisation
Applications of Reinforcement Learning in Optimisation Problems
Intelligent Heuristic and Meta-Heuristic Algorithm Design
Research on the Interpretability and Robustness of Optimisation Algorithms
Artificial Intelligence
Artificial intelligence
Artificial neural network
Deep learning
Natural language processing
Computer vision
Knowledge graph construction
Interpretable machine learning
Embodied intelligence
Neural Network
Deep neural networks
Convolutional neural networks
Generative adversarial networks
Recurrent neural networks
Neural network structures
Neural-symbolic hybrid models
Explainability and visualisation methods for neural networks
Neural networks in analysis and research in fields such as medicine, finance, and energy
Biological Neural Networks
Convolutional Neural Networks (CNN) in Image Processing
Recurrent Neural Networks (RNN) and Their Applications in Sequence Data
Autoencoders and Generative Models
Neural Networks in Natural Language Processing (NLP)
Neural Networks in Medical Image Analysis
Neural Networks in Bioinformatics
Neuronal Dynamics and Electrophysiological Properties
Synaptic Plasticity Mechanisms and Learning Regulation
Neural Circuit Structure and Functional Dynamics
Brain-inspired neuromorphic computing and plasticity decoding
Decoding of biological neural signals and brain-computer interfaces
Intelligent Optimisation
Evolutionary Algorithms
Swarm Intelligence
Machine Learning
Reinforcement Learning
Theory and Applications of Evolutionary Optimisation Algorithms
Swarm Intelligence and Cooperative Optimisation
Applications of Reinforcement Learning in Optimisation Problems
Intelligent Heuristic and Meta-Heuristic Algorithm Design
Research on the Interpretability and Robustness of Optimisation Algorithms
Última Actualización Por Dou Sun en 2025-12-13
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Revistas Relacionadas
| CCF | Nombre Completo | Factor de Impacto | Editor | ISSN |
|---|---|---|---|---|
| b | IEEE Transactions on Neural Networks and Learning Systems | 8.9 | IEEE | 1045-9227 |
| Structural and Multidisciplinary Optimization | 4.0 | Springer | 1615-147X | |
| Engineering Optimization | 2.2 | Taylor & Francis | 0305-215X | |
| c | Mobile Networks and Applications | 2.0 | Springer | 1383-469X |
| Journal of Computer Networks and Communications | 1.8 | Hindawi | 2090-7141 | |
| Photonic Network Communications | 1.7 | Springer | 1387-974X | |
| Numerical Functional Analysis and Optimization | 1.400 | Taylor & Francis | 0163-0563 | |
| b | Journal of Global Optimization | 1.300 | Springer | 0925-5001 |
| Optical Memory and Neural Networks | 1.000 | Springer | 1060-992X | |
| Discrete Optimization | 0.900 | Elsevier | 1572-5286 |