06-08-2016, 04:16 PM
A basic introduction to neural networks
What is a neural network?
A neural network is a simple definition, and more properly to an "artificial neural network (ANN), ' one of the first neurocomputers Dr. Robert Hecht-Nielsen is provided by the inventor of the referred to. He said that as a neural network defines:
"... A computing system is simple, has a number of highly interconnected processing elements, external inputs for their dynamic State feedback is information about the process.
Maureen Caudill, AI Expert, February 1989: "part I neural network Primer" in
ANNs tools (algorithms or the actual hardware) that loosely modeled after neuronal structure of cerebral cortex mamalian but on much smaller scales are processed. While a mamalian magnitude of their overall brain interact and casual behavior with a corresponding increase in the billions of neurons is a large n, may be hundreds or thousands of processor units. Although ANN researchers generally with your network to accurately resemble biological systems that do not have some people worried. For example, the researchers right retina function fake and rather well eye is modelled.
Although mathematics Neural Networking is not a small thing with, easily a user at least understand their structure and can achieve an operational function.
What is a neural network?
A neural network is a simple definition, and more properly to an "artificial neural network (ANN), ' one of the first neurocomputers Dr. Robert Hecht-Nielsen is provided by the inventor of the referred to. He said that as a neural network defines:
"... A computing system is simple, has a number of highly interconnected processing elements, external inputs for their dynamic State feedback is information about the process.
Maureen Caudill, AI Expert, February 1989: "part I neural network Primer" in
ANNs tools (algorithms or the actual hardware) that loosely modeled after neuronal structure of cerebral cortex mamalian but on much smaller scales are processed. While a mamalian magnitude of their overall brain interact and casual behavior with a corresponding increase in the billions of neurons is a large n, may be hundreds or thousands of processor units. Although ANN researchers generally with your network to accurately resemble biological systems that do not have some people worried. For example, the researchers right retina function fake and rather well eye is modelled.
Although mathematics Neural Networking is not a small thing with, easily a user at least understand their structure and can achieve an operational function.
