Neural Networks and Applications

Neural Networks and Applications is a research topic within Artificial Intelligence. Science Explorer counts 99k research works in it since 1950. 10.0% of them reached the world's top 10% most cited for their field and year.

This cluster of papers covers a wide range of topics related to neural networks, including backpropagation learning, self-organizing maps, radial basis function networks, deep learning, and applications such as pattern classification and function approximation.

• Neural Networks
• Self-Organizing Maps
• Backpropagation Learning
• Radial Basis Function Networks
• Deep Learning
• Artificial Neural Networks
• Recurrent Neural Networks
• Feedforward Neural Networks
• Pattern Classification
• Function Approximation