Conference Information
BNNIO 2026: International Symposium on Biological Neural Networks and Intelligent Optimization
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Submission Date: |
2025-12-13 |
Notification Date: |
2025-12-18 |
Conference Date: |
2026-01-16 |
Location: |
Zhuhai, China |
Viewed: 1948 Tracked: 0 Attend: 0
Call For Papers
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
Last updated by Dou Sun in 2025-12-13
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