Neural networks with learning and expression capability
AssigneeNeuramatix SDN. BHD.
InventorRobert Hercus
Life of this patent
Estimating the term…
Abstract
A neural network comprising a plurality of neurons in which any one of the plurality of neurons is able to associate with itself or another neuron in the plurality of neurons via active connections to a further neuron in the pluarlity of neurons.
Claims102
A neural network comprising a plurality of neurons, the plurality of neurons comprising a plurality of elemental neurons and a plurality of structural neurons;
- all elemental and structural neurons being able to be associated via active connections;
- all elemental neurons being able to express their elemental values, and all structural neurons being able to express a pair of neurons with which they associate.
A neural network comprising a plurality of elemental neurons, and a plurality of structural neurons for representing associations between any pair of neurons, the pair of neurons being selected from the group consisting of:
- both elemental neurons, both structural neurons, one structural and one elemental neuron, and one elemental neuron and one structural neuron.
A neural network comprising a plurality of neurons linked by associations, all of the plurality of neurons being able to be expressed in terms of at least one elemental neuron from which they were derived or represent.
A neural network comprising plurality of neurons, each of the plurality of neurons being represented by a unique addressable node in an array, each of the plurality of neurons being linked by associations, and all of the plurality of neurons are able to be expressed.
A neural network comprising a plurality of nodes in an array, each node comprising at least one pointer, each pointer being a data element of the node;
- each data element representing a unique address of a specific node in the array, and each address represents a neuron of a plurality of neurons;
- and each of the plurality of neurons is linked by associations, all neurons being able to be expressed.
A neural network comprising a plurality of neurons, each neuron being stored as a unique node of an addressable array, and each address of each node in the array uniquely represents that neuron.
A neural network comprising a plurality of neurons represented by an array, every neuron in the array having pointers for providing expression, each neuron being represented by a node in the array, each node having a plurality of pointers.
A neuronal assembly for use in a neural network, the neuronal assembly comprising an initiating neuron, an associated neuron, and a associating neuron operatively connected to the initiating neuron and the associated neuron.
A method for creating an association of neurons in a neural network, the neural network having a plurality of neurons, one of the plurality of neurons being an initiating neuron, another of the plurality of neurons being an associated neuron, and a further neuron of the plurality of neurons being a associating neuron;
- the method comprising:
- (a) activating or firing the initiating neuron to potentiate the associating neuron;
- and
- (b) activating or firing the associated neuron to potentiate and activate the associating neuron, the associating neuron then being activated and able to fire.
A method of operating a neural network having a plurality of neurons including a plurality of elemental neurons and a plurality of structural neurons, the method comprising:
- (a) defining events the elemental neurons and structural neurons will represent;
- (b) creating a required number of elemental neurons for the total number of unique values to be represented for all defined events;
- and
- (c) creating a set of rules for association of the plurality of neurons.
A neural network wherein the neural network is bi-directional and is enabled to operate in a forward mode where structural neurons are derived from input events, and in a reverse mode where input events are derived from structural neurons.
Dependencies are inferred from the claim text.