Artificial Neural Network

ANN may be regarded as an alternative to the standard physical models, particularly in cases where the underlying physics of the system is too complex to analyse. In essence, it is a “black box” model, which mimics the information processing functions of the Human Neural System. ANN accepts any standard input vector and produces the desired output by processing the input through a series–parallel combination of functional elements, commonly referred as “neurons” or “nodes”. Multilayer Perceptron (MLP) neural network is the most widely used ANN architecture. ANN has created newer and massive strides in the field of science. It has been found to be useful in predicting the survival rate, length of stay in hospitals of patients suffering from trauma or in the intensive care units. ANN being a powerful tool in predicting bivariate models; with recent prediction of the occurrence of heart block and death in patients with myocardial infarctions concurrently by the control of hybrid models introduced to as Hybrid ANN-Genetic Algorithm (ANN-GA). ANN has also been successfully used in temperature tracking, constraints and limitations of different products used in summer and winter.

  • Neural Networks
  • Deep Neural Network
  • Recurrent Neural Network
  • dynamic biological networks
  • adaptive neural processing

Related Conference of Artificial Neural Network

May 22-23, 2024

11th Global Meet on Wireless and Satellite Communications

Amsterdam, Netherlands
July 25-26, 2024

23rd International Conference on Big Data & Data Analytics

Amsterdam, Netherlands
November 20-21, 2024

5th World Congress on Robotics and Automation

Paris, France

Artificial Neural Network Conference Speakers

    Recommended Sessions

    Related Journals

    Are you interested in