Neural network construction

A method of detecting security breach events in a telecommunications network comprising:

• generating a population of software hox genomes, each software hox genome encoding a neural network and comprising, for each zone of a plurality of zones of the neural network, a hox gene and at least one norm gene, where the norm gene encodes the zone and the hox gene controls at least one of:
• a quantity of instances of the zone in the neural network, a position of the zone in the neural network, a gradient of weights in the zone, a depth of nested zones within the zone, an amount of bias to be applied to weights in the zone;
• applying an evolutionary algorithm to the population of software hox genomes where a fitness function of the evolutionary algorithm is a performance of the neural network encoded by a software hox genome on detection of the security breach events in the telecommunications network, where the neural network has been trained using labeled event data from the telecommunications network;
• outputting from the evolutionary algorithm, one of the software hox genomes and constructing the neural network encoded by the software hox genome;
• and
• processing measurements from the telecommunications network using the constructed neural network in order to detect the security breach events.

An image processing apparatus comprising:

• one or more processors;
• and
• computer storage memory having computer-executable instructions stored thereon which, when executed by the one or more processors, implement a method comprising:
• generating a population of software hox genomes, each software hox genome encoding a neural network and comprising, for each zone of a plurality of zones of the neural network, a hox gene and at least one norm gene, where the norm gene encodes the zone and the hox gene controls at least one of:
• a quantity of instances of the zone in the neural network, a position of the zone in the neural network, a gradient of weights in the zone, a depth of nested zones within the zone, an amount of bias to be applied to weights in the zone;
• applying an evolutionary algorithm to the population of software hox genomes where a fitness function of the evolutionary algorithm comprises a performance of the neural network encoded by a software hox genome on an image processing task, where the neural network has been trained for the image processing task using training images;
• outputting from the evolutionary algorithm, one of the software hox genomes and constructing the neural network encoded by the software hox genome;
• and
• processing an image using the constructed neural network in order to perform an image processing task.

An apparatus in a telecommunications network for detecting security breach events, the apparatus comprising:

• one or more processors;
• and
• computer storage memory having computer-executable instructions stored thereon which, when executed by the one or more processors, implement a method comprising:
• generating a population of software hox genomes, each software hox genome encoding a neural network and comprising, for each zone of a plurality of zones of the neural network, a hox gene and at least one norm gene, where the norm gene encodes the zone and the hox gene controls at least one of:
• a quantity of instances of the zone in the neural network, a position of the zone in the neural network, a gradient of weights in the zone, a depth of nested zones within the zone, an amount of bias to be applied to weights in the zone;
• applying an evolutionary algorithm to the population of software hox genomes where a fitness function of the evolutionary algorithm comprises a performance of the neural network encoded by a software hox genome on detection of the security breach events in the telecommunications network, where the neural network has been trained using labeled event data measured from the telecommunications network;
• outputting from the evolutionary algorithm, one of the software hox genomes and constructing the neural network encoded by the software hox genome;
• and
• processing measurements from the telecommunications network using the constructed neural network in order to detect the security breach events.

A telecommunications network for detecting security breach events, the telecommunications network comprising an apparatus, wherein the apparatus comprises:

• one or more processors;
• and
• computer storage memory having computer-executable instructions stored thereon which, when executed by the one or more processors, implement a method comprising:
• generating a population of software hox genomes, each software hox genome encoding a neural network and comprising, for each zone of a plurality of zones of the neural network, a box gene and at least one norm gene, where the norm gene encodes the zone and the hox gene controls at least one of:
• a quantity of instances of the zone in the neural network, a position of the zone in the neural network, a gradient of weights in the zone, a depth of nested zones within the zone, an amount of bias to be applied to weights in the zone:
• applying an evolutionary algorithm to the population of software hox genomes where a fitness function of the evolutionary algorithm comprises a performance of the neural network encoded by a software hox genome on detection of the security breach events in the telecommunications network, where the neural network has been trained using labeled event data measured from the telecommunications network;
• outputting from the evolutionary algorithm, one of the software hox genomes and constructing the neural network encoded by the software hox genome;
• and
• processing measurements from the telecommunications network using the constructed neural network in order to detect the security breach events.