Neural Network Toolbox

Data Structures

This section discusses how the format of input data structures affects the simulation of networks. We will begin with static networks, and then move to dynamic networks.

We are concerned with two basic types of input vectors: those that occur concurrently (at the same time, or in no particular time sequence), and those that occur sequentially in time. For concurrent vectors, the order is not important, and if we had a number of networks running in parallel, we could present one input vector to each of the networks. For sequential vectors, the order in which the vectors appear is important.

Multiple Layers of Neurons

Simulation with Concurrent Inputs in a Static Network

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