Artificial Neural Networks (ANN)
Human brain has neurons that help in adaptability, learning ability & to solve any problem. Unlike Human brain, computer scientists dreamt for computers to solve the perceptual problems that fast. And hence, ANN model came into existence. Artificial Neural Networks is nothing but a biologically inspired computational model that consists of processing elements (neurons) and connections between them, as well as of training and recall algorithms. There are many types of Neural Networks:
- Feed-forward and neural network
- Radial basis function (RBF) network
- Kohonen self-organizing network
- Learning vector quantization
- Recurrent neural network
- Modular neural networks
- Physical neural networks
- Other types of networks
Related Conference of Artificial Neural Networks (ANN)
September 10-11, 2024
7th International Conference on Artificial Intelligence, Machine Learning and Robotics
Amsterdam, Netherlands
October 24-25, 2024
10th World Congress on Computer Science, Machine Learning and Big Data
Zurich, Switzerland
November 25-26, 2024
10th International Conference and Expo on Computer Graphics & Animation
Vancouver, Canada
Artificial Neural Networks (ANN) Conference Speakers
Recommended Sessions
- AI & Machine Learning in HealthCare & Medical Science
- Artificial Intelligence
- Artificial Neural Networks (ANN)
- Big Data Analytics
- Big Data, Data Science and Data Mining
- Cloud Computing
- Computer Vision and Image Processing
- Deep Learning
- Deep Learning Frameworks
- Facial Expression and Emotion Detection
- Internet of Things (IoT)
- Machine Learning
- Natural Language Processing (NLP) and Speech Recognition
- Pattern Recognition
- Predictive Analytics
- Robotic Process Automation (RPA)
- Virtual Reality And Augmented Reality