• Dr. Sushil Kumar Saini

Pattern recognition, prediction, system identification, and control may all benefit from the usage of neural networks. Artificial or formal neural networks (ANNs), parallel distributed processing (PDP), neuromorphic or connectionist models, and other terms for these models and methods have been developed to replicate how the human brain processes information and acquires knowledge. Many people use the word "network" to describe anything from computer networks to communications to organisations and marketplaces. In the beginning, the idea of an artificial neural network (ANN) was conceived as an optimistic vision of artificial intelligence (AI) synthesis by mimicking the human brain. To incorporate neural-inspired notions in artificial intelligence contexts, ANNs provide an alternative to symbol programming.

Artificial or formal neural networks (ANNs), parallel distributed processing (PDP), artificial intelligence (AI) synthesis

"Mathematical Model of ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.89-93, March-2021, Available :http://www.jetir.org/papers/JETIR2103402.pdf

"Mathematical Model of ANN", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp89-93, March-2021, Available at : http://www.jetir.org/papers/JETIR2103402.pdf