An artificial neural network (ANN) is a computational model that imitates the biological network of the human body. It is an interconnected system of artificial neurons. Neural networks have self-learning capabilities and can execute tasks such as clustering, classification, association and prediction.
AI expert Maureen Caudill describes a neural network as "a computing system composed of a number of simple and highly interconnected processing elements that process information by their dynamic state response to external inputs."
Neural networks are applied in various industries. Some of neural networks' featured abilities include: identifying patterns or trends in data and prediction, which are suited for sales forecasting; industrial process control; customer research; data validation; risk management; and target marketing in the business sector.
Neural networks are also used in voice recognition, diagnosis of hepatitis, recovery of telecommunications from faulty software, interpretation of words, undersea mine detection, texture analysis, three-dimensional object recognition, handwritten word recognition, image recognition and facial recognition.
An artificial neural network (p, d, q) model for timeseries forecasting
Mehdi Khashei and Mehdi Bijari
ARTIFICIAL NEURAL NETWORK MODELS FOR FORECASTING AND DECISION MAKING
Tim Hill, Leorey Marquez, Marcus O'Connor and William Remusa
Converting Cascade-Correlation Neural Nets into Probabilistic Generative Models
Ardavan Salehi Nobandegani, Thomas R. Shultz
Deep Big Simple Neural Nets Excel on Handwritten Digit Recognition
Dan Claudiu Ciresan, Ueli Meier, Luca Maria Gambardella, Juergen Schmidhuber
Differentiable Image Parameterizations
Event Representations for Automated Story Generation with Deep Neural Nets
Lara J. Martin, Prithviraj Ammanabrolu, Xinyu Wang, William Hancock, Shruti Singh, Brent Harrison, Mark O. Riedl
Experiments in Handwriting with a Neural Network
Handwritten Digit Recognition with a Committee of Deep Neural Nets on GPUs
Dan C. Cireşan, Ueli Meier, Luca M. Gambardella, Jürgen Schmidhuber
Theory of the Backpropagation Neural Network
Documentaries, videos and podcasts
An AI Pioneer Explains the Evolution of Neural Networks
May 13, 2019
But what *is* a Neural Network? | Chapter 1, deep learning
5 October 2017
- Natural language processing (NLP)Natural language processing is a branch of artificial intelligence that is concerned with giving computers the ability to comprehend spoken words and text in the same way humans can.
- Reinforcement LearningAn area of machine learning focusing on how machines and software agents react in a specific context to maximize performance and achieve reward known as reinforcement signal.
- Anomaly Detection
- Differentiable neural computerA differentiable neural computer (DNC) is a machine learning model consisting of a a neural network that combines the learning and pattern-recognition strengths of deep neural networks with the ability to retain information in complex data structures.