Give two points of similarity between Human Nervous System and Artificial Neural
Network.
Answers
Answer:
The human brain has a biological neural network which has billions of interconnections. As the brain learns, these connections are either formed, changed or removed, similar to how an artificial neural network adjusts its weights to account for a new training example.
Explanation:
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Answer:
What is Artificial Neural Networks (ANNs)
ANN’s had started with background work in the late nineteenth and early twentieth century. At that time there were no mathematical theories or algorithms about the neural networks. They had started with researching interdisciplinary work in psychology, physics, and neurophysiology. In the last two decades, ANN has been touching the roofs, it’s in every other field and a lot of research work has been done with new papers being published now and then. Consider ANN as omnipresent as it is available in every field ranging from the environment to electronics.
What is Biological Neural Network (BNNs)?
In the Biological Neural network, neurons are working inside a human brain which is connected by synapses activated for the specific function they ought to carry out. Early studies of BNN’s have been done around the 1800s in terms of psychology but The first rule of neuronal learning and what the BNN’s are was described by Hebb in 1949, in the Hebbian theory.
The connections between the neurons in the human brain are much more complicated than the artificial ones. There are two basic kinds of connections between neurons present in the biological brain called synapses, both electrical and chemical. Synapses help the connection of neurons in overlapping and interlinking the neural circuits. Consider the Biological Neural Network to be a connective bridge in the difference between a neural network and the human brain.