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Single-layer feedforward network
There are many different kinds of neural networks. From witch only a few will be described here. One of them is called
single-layer feedforward network.
Though, we will briefly explain some things about the different kinds of networks.
Multilayer-network
A network as this doesn't contain any neurons that are connected to themselves or any others earlier in the system.
This makes it easy to train, but there are certain limitations - it cannot acomplish any given asignment.
Minsky and Papert discovered the so called XOR-problem which was impossible to solve without another layer of neurons.
The solution to this was multilayer-network
Which has two or more layers.
To describe the inner workings of an MLP
we have applied a flash animation.
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