Journal of Neurology and Neuroscience

contact@imedpub.com Submit a Manuscript

Artificial Neural Network

Synthetic neural networks (ANN) or computer-mediated communication systems are blindly inspired by the natural neural networks that make up the animal's brain. Such programs "learn" to perform tasks by looking at examples, often without being organized by task-specific rules. For example, from a photo perspective, they can learn to identify images that contain cats by analyzing example images labeled "cat" or "no cat" and then using the results to identify cats in other images. They do this without any previous knowledge of cats, for example, that they have beer, tails, cheeks and a cat-like face. Instead, they automatically generate diagnostic clues from the examples they process.

ANN is derived from a set of connected units or nodes called synthetic neurons, which equally reflect neurons in the blood brain. Each interaction, such as synapses in the blood brain, can transmit the signal to other neurons. It is an artificial neuron that receives the signal and processes it and can sign the neurons that are connected to it.

High Impact List of Articles
Conference Proceedings

Relevant Topics in Neurology & Psychiatry

Awards Nomination 17+ Million Readerbase
Google Scholar citation report
Citations : 606

Journal of Neurology and Neuroscience received 606 citations as per Google Scholar report

image
Abstracted/Indexed in
  • Google Scholar
  • Open J Gate
  • Genamics JournalSeek
  • The Global Impact Factor (GIF)
  • China National Knowledge Infrastructure (CNKI)
  • Directory of Research Journal Indexing (DRJI)
  • WorldCat
  • Proquest Summons
  • Scientific Journal Impact Factor
  • Secret Search Engine Labs
  • Euro Pub

View More »

Open Access Journals