1、A TLU learns by changing its weights and threshold.
2、这是TLU原理中更为普通的实例。
3、This TLU classifies these inputs into two groups: the 1 group and the 0 group.
4、A TLU that could do this would need to make more than one cut in the space of possible inputs.
5、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.
6、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.
7、The first step toward understanding neural nets is to abstract from the biological neuron, and to focus on its character as a threshold logic unit (TLU).
8、这个方程的曲线将4 个可能的输入分成了两个对应于TLU分类的区域。
9、这个方程的曲线将4 个可能的输入分成了两个对应于TLU 分类的区域。
10、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。
11、就像懂得逻辑连接(布尔运算AND)的人脑可以类似地将逻辑连接的句子分类那样，TLU也懂得一点逻辑连接之类的东西。
