ABSTRACT
The simplest artificial neuron presented in the last chapter was the threshold logic unit or TLU. In this chapter we shall discuss a geometric context for describing the functionality of TLUs and their networks that has quite general relevance for the study of all neural networks. In the process it will be necessary to introduce some mathematical concepts about vectors. These are also of general importance and so their properties are described in some detail. Readers already familiar with this material may still wish to skim Section 3.2 to become acquainted with our notation.
