Neural Networks
Neural networks are a computational approach which is based on a large collection of neural units loosely modelling the way a biological brain solves problems with large clusters of biological neurons connected by axons. Each neural unit is connected with many others, and links can be enforcing or inhibitory in their effect on the activation state of connected neural units. Each individual neural unit may have a summation function which combines the values of all its inputs together. The goal of the neural network is to solve problems in the same way that the human brain would, although several neural networks are much more abstract.
Related Conference of Neural Networks
August 10-11, 2026
12th World Congress on Computer Science, Machine Learning and Big Data
London, UK
October 22-23, 2026
6th International Conference on Renewable Energy and Resources
Vancouver, Canada
December 07-08, 2026
12th International Conference and Exhibition on Mechanical & Aerospace Engineering
Dubai, UAE
December 09-10, 2026
25th International Conference on Big Data & Data Analytics
Amsterdam, Netherlands
Neural Networks Conference Speakers
Recommended Sessions
- Aerial Robotics and UAV
- AI Machine Learning in Health Care & Medical Science
- Artificial Intelligence
- Bioengineering and Bio-Mechanics
- Human-Robot Interaction
- Humanoid Robots
- Industrial Applications of Robotics
- Intelligent Autonomous Systems and Robots
- Marine Robotics
- Medical Robotics
- Mobile robot
- Multi Robot Systems
- Neural Networks
- Remote and Telerobotics
- Robot Localization and Map Building
- Robot manipulators
- Robotics
- Robotics and Mechatronics
- Robotics and Screw Theory
- Role of 3D printing in robotics
Related Journals
Are you interested in
- Advanced Deep Learning Architectures - ARTIFICIAL INTELLIGENCE-2026 (France)
- AI Futures & Emerging Trends - ARTIFICIAL INTELLIGENCE-2026 (France)
- AI in Cybersecurity - ARTIFICIAL INTELLIGENCE-2026 (France)
- AI-Driven Autonomous Systems & Robotics - ARTIFICIAL INTELLIGENCE-2026 (France)
- Applied Machine Learning Across Industries - ARTIFICIAL INTELLIGENCE-2026 (France)
- Artificial Intelligence - ARTIFICIAL INTELLIGENCE-2026 (France)
- Artificial Neural Networks - ARTIFICIAL INTELLIGENCE-2026 (France)
- Big Data & Data Engineering - ARTIFICIAL INTELLIGENCE-2026 (France)
- Cloud Computing for AI - ARTIFICIAL INTELLIGENCE-2026 (France)
- Computer Vision - ARTIFICIAL INTELLIGENCE-2026 (France)
- Deep Learning - ARTIFICIAL INTELLIGENCE-2026 (France)
- Generative Adversarial Networks & Diffusion Models - ARTIFICIAL INTELLIGENCE-2026 (France)
- Internet of Things (IoT) & Edge AI - ARTIFICIAL INTELLIGENCE-2026 (France)
- Machine Learning - ARTIFICIAL INTELLIGENCE-2026 (France)
- Multi-Agent Systems - ARTIFICIAL INTELLIGENCE-2026 (France)
- Natural Language Processing - ARTIFICIAL INTELLIGENCE-2026 (France)
- Neural Network Optimization - ARTIFICIAL INTELLIGENCE-2026 (France)
- Neuromorphic Computing & Brain-Inspired AI - ARTIFICIAL INTELLIGENCE-2026 (France)
- Predictive Analytics - ARTIFICIAL INTELLIGENCE-2026 (France)
- Quantum Machine Learning - ARTIFICIAL INTELLIGENCE-2026 (France)
- Reinforcement Learning Applications - ARTIFICIAL INTELLIGENCE-2026 (France)
- Responsible & Ethical AI - ARTIFICIAL INTELLIGENCE-2026 (France)
- Robotics and Intelligent Automation - ARTIFICIAL INTELLIGENCE-2026 (France)
