System, method and network node for generating at least one classification based on machine learning techniques

A method for using a system for generating at least one classification based on multiple data sources, the system comprising:

• at least one layer comprising one or more supervised neural networks (SNN);
• at least one layer comprising one or more unsupervised neural networks (USNN);
• and
• at least one normalization layer;
• each of the layers having inputs and outputs, the inputs of a first layer receiving data from the data sources, the inputs of a layer other than the first layer being communicatively connected to the outputs of a previous layer, the outputs of a layer other than a last layer being communicatively connected to inputs of a following layer, the last layer having at least one output, and the at least one normalization layer being operative to normalize the outputs from the previous layer into normalized inputs for the following layer;
• and
• the method comprising:
• activating the data sources;
• and
• obtaining the at least one classification from the at least one output of the last layer.

A network node operative to generate at least one classification based on multiple data sources, comprising processing circuitry and a memory, the memory containing instructions executable by the processing circuitry whereby the network node is operative to host a system comprising:

• at least one layer comprising one or more supervised neural networks (SNN);
• at least one layer comprising one or more unsupervised neural networks (USNN);
• and
• at least one normalization layer;
• each of the layers having inputs and outputs, the inputs of a first layer being operative to receive data from the data sources, the inputs of a layer other than the first layer being communicatively connected to the outputs of a previous layer, the outputs of a layer other than a last layer being communicatively connected to inputs of a following layer, the last layer having at least one output, and the at least one normalization layer being operative to normalize the outputs from the previous layer into normalized inputs for the following layer;
• the network node being further operative to:
• activate the data sources;
• and
• obtain the at least one classification from the at least one output of the last layer.