PANN: A New Artificial Intelligence Technology. Tutorial. Boris Zlotin

      In classical neural networks, the first step is to form a network structure of «empty,» untrained neurons and a random set of weights at synapses. Only then does the training of the prepared network begin.

      In PANN, the situation is entirely different: you can train any number of neurons individually, train neurons in groups of five, ten, hundreds, or thousands of neurons, or prepare entire libraries in BCF format. Then, you combine everything you need to get a single network.