What is the bipolar input and bipolar output truth table of ANDNOT function

In summary, a bipolar input and bipolar output truth table can be used to determine whether a given input is equal to a given output. The truth table defines the output as a function of the input, and the output can be either 0 or 1. The bipolar input and bipolar output truth table of the ANDNOT function is described in Wikipedia.f
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  • #2
What is the bipolar input and bipolar output truth table of ANDNOT function
Could you remind the definitions of bipolar output truth table and ANDNOT function?
 
  • #3
Could you remind the definitions of bipolar output truth table and ANDNOT function?
I forgot to clarify, bipolar means 0-->-1 and 1------->1 that's it. My confusion is with truth table of AND NOT function. What is its truth table. I have made one above and written books' truth table as well. Could you please clarify that only?
 
  • #4
I forgot to clarify, bipolar means 0-->-1 and 1------->1
I have not encountered Boolean algebra with negative values like $-1$ above. If minus is a typo and you meant 0 --> 1 and 1 --> 1, then did you mean a constant function of one argument that is always equal to 1? How is it related to AND NOT?

If by AND NOT you mean NAND, which maps $x$ and $y$ to $\overline{x\&y}$, then it is described in Wikipedia. It maps all pairs of arguments to 1 except (1, 1), which it maps to 0. If I misunderstood your question, please write it more clearly.
 
  • #5
I have not encountered Boolean algebra with negative values like $-1$ above. If minus is a typo and you meant 0 --> 1 and 1 --> 1, then did you mean a constant function of one argument that is always equal to 1? How is it related to AND NOT?

If by AND NOT you mean NAND, which maps $x$ and $y$ to $\overline{x\&y}$, then it is described in Wikipedia. It maps all pairs of arguments to 1 except (1, 1), which it maps to 0. If I misunderstood your question, please write it more clearly.
https://www.geeksforgeeks.org/implementing-andnot-gate-using-adaline-network/I got it.
 
  • #6
Glad you found the answer. Next time please write the complete problem statement and its context in the body of the first message and not only in the thread title. In this case it is essential that the question deals with neural networks.
 
  • #7
Glad you found the answer. Next time please write the complete problem statement and its context in the body of the first message and not only in the thread title. In this case it is essential that the question deals with neural networks.
Ok I will write everything in detail from now on. Thank for advice.
 

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