Week One

Week 1

In the first week, tasks were divided between individuals within the group, and so, intensive research was done by everyone regarding their own tasks. Overall research was done first so that members would have an idea about the topic.

Through the research, more about neural networks was found, such as neurons are neural networks' basic unit of information processing.

These are 3 basic elements of neuron model:
- An adder, which sums corresponding synaptic weights of input to stem neurons.
- An activation function (suppression function), which limits neuron's output amplitude. Normal amplitude range of neuron output is written as [0, 1] or another interval [-1, +1]
- Link chain (synapse), with each distinguished by weight or intensity. Synaptic weight subscript is important. The input signal is multiplied by the synaptic weight. Unlike human's brains, artificial neurons only have one range of synaptic weights with only positive or negative values.

 Figure 1 (Artificial Neural Network)