Artificial Neural Networks, also called Neural Networks are field of an Artificial Intelligence Research, used in Computer Sciences & many other Sciences.
NN have practical uses, are universal approximantion system representing multi-dimensional data sets, have ability to learn & adapt to changing environment conditions, ability to abstract (generalize) acquired knowledge.
Living oganisms's nervous systems research are basis for systems theory & it's uses in practice.
There are models of a neuron cell with:
- input signal weighted addition - with a weighted synaptic importance; input signals stimulate neuron or reduce, how much depends on it's weight measure,
- an activation function.
As neurons activate, weight of it's synaptic signals increases as well, depending on a weight measure as well.
Neurons (cells, graph nodes) & Synapses (connections) can be used in brain modelling as well, even if it's a model of non-human, artificial machine brain with different design & properties.
Living beings' brain activity interacts both ways with a nervous system & spine, affecting muscles & more.
In machines, artificial synaptic-neuronal system called Artificial Brain can interact via electricity with external devices such as cameras, or more abstractly sensors or other electronic machines as engines & more, as well.
Certain aspects of NN Research caught my attention for now:
- Singal Flow Graphs,
- Initial & Modified Weighted Measures of Data Importance for AI's tasks,
- Networks that Adapt,
- Patterns Recognition,
- Neuronal Competition.
See also, if You wish, or need, ... : Token Game, Stitie Space & Stitie Machine 'Sunsail'.
Source: , insights.