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
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Artificial Neural Networks (ANN) Conference Speakers
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- Turbine - Fluid & Aerodynamics 2019 (Spain)
- Turbomachinery - Fluid & Aerodynamics 2019 (Spain)
- Types of Biosensors - Euro Biosensors 2019 (Italy)
- Vehicular Automation and Automatic Driving - Automobile Europe 2020 (Germany)
- Virtual Reality - GAMC 2019 (Philippines)
- Virtual Reality And Augmented Reality - Machine Learning 2019 (Finland)
- Virtual, Augmented and Mixed Reality - Computer Graphics & Animation 2020 (UK)
- Virtualization in Cloud Computing - Cloud Computing 2020 (UK)
- Virtualization of the infrastructure - Cloud Computing 2020 (UK)
- Visualization & 3D Printing - Computer Graphics & Animation 2020 (UK)
- Weapon Designing - Design Engineering 2019 (Italy)
- Wearable Biosensors Technologies - Biosensors & Bioelectronics 2019 (Canada)
- Weather Satellites - Satellite 2020 (UK)
- Wireless Communication - Wireless Conference 2020 (UK)
- Wireless Communication - Wireless 2019 (Italy)
- Wireless Communications - Satellite-2019 (Italy)