In the case of a TLU with an arbitrary number of inputs, n, the set of possible inputs corresponds to a set of points in N-dimensional space.
在TLU有任意数目的N个输入的情况下,一组可能的输入对应于n维空间中的一个点集。
A TLU that could do this would need to make more than one cut in the space of possible inputs.
用tlu来实现需要对可能的输入空间进行不止一次的分割。
This TLU classifies these inputs into two groups: the 1 group and the 0 group.
TLU将这些输入分为两组:0组和1组。
A TLU learns by changing its weights and threshold.
TLU通过改变它的权系数和阈值来学习。
Insofar as a human brain that knows about logical conjunction (Boolean AND) would similarly classify logically conjoined sentences, this TLU knows something like logical conjunction.