Difference between ANN and BNN : आइए जानते है

Difference between ANN and BNN : आइए जानते है

No	ANN	BNN
1	input weight output hidden layer	dendrites synapse axon cell body
2	very precise structures and formatted data	they can tolerate ambiguity
3	complex high speed one or a few	simple low speed large number
4	separate from a processor localized non-content addressable	integrated into processor distributed content-addressable
5	centralized sequential stored programs	distributed parallel self-learning
6	very vulnerable	robust
7	numerical and symbolic manipulations	perceptual problems
8	well-defined well-constrained	poorly defined un-constrained
9	the potential of fault tolerance	performance degraded even on partial damage
10	It has very accurate structures and formatted data.	They are tolerant to ambiguity.
11	Its memory is separate from a processor, localized, and non-content addressable.	Its memory is integrated into the processor, distributed, and content-addressable.
12	It has very accurate structures and formatted data.	They are tolerant to ambiguity.
13	It doesn't provide any feedback.	It provides feedback.
14	Its operating environment is well-defined and well-constrained	Its operating environment is poorly defined and unconstrained.

आगे और भी हैं