Want this question answered?
A step in the training process of an artificial neural network
momentum neural network
An artificial neural network is a mathematical model inspired by biological neural networks. One can find more information about this subject online at Learn Artificial Neural Networks, Computer World, and Wikipedia.
Advantages and disadvantages of Artificial Neural NetworkAdvantages:· A neural network can perform tasks that a linear program cannot.· When an element of the neural network fails, it can continue without any problem by their parallel nature.· A neural network learns and does not need to be reprogrammed.· It can be implemented in any application and without any problem.Disadvantages:· The neural network needs training to operate.· The architecture of a neural network is different from the architecture of microprocessors therefore needs to be emulated.· Requires high processing time for large neural networks.
Micheal Patrick Walsh has written: 'A novel neural network for power system scheduling' -- subject(s): Computer algorithms, Neural networks (Computer science), Electric power systems
the neural networks need training to operate. the architecture of a neural network is different from the architecture of microprocessor therefore needs to be emulated.
Neural networks have nothing to do with neutrons.
James A. Villarreal has written: 'A space-time neural network for processing both spacial and temporal data' -- subject(s): Neural networks (Computer science)
P. A. Ramamoorthy has written: 'A neural network architecture for implementation of expert sytems for real time monitoring' -- subject(s): Neural networks (Computer science)
on the internet which computer works like a network server computer
T. Troudet has written: 'A novel approach to noise-filtering based on a gain-scheduling neural network architecture' -- subject(s): Neural networks (Computer science)
Richard M. Golden has written: 'Mathematical methods for neural network analysis and design' -- subject(s): Mathematical models, Neural networks (Computer science)