An artificial neuron includes an aggregator that combines a plurality of input signals. The value state of each of the input signals is encoded in a phase thereof. The artificial neuron also includes an actuator in communication with the aggregator. The actuator is configured to provide an output signal having a value state encoded in a phase thereof. The value state of the output signal may be selected on the basis of the value states of the input signals. The value state of each of the input s...

A system and method for automatically creating performance models of complex information technology (IT) systems. System components and elements are subject to periodic monitoring associated with performance thresholds. A continuity analysis is performed by synchronizing testing functions associated with the predetermined system performance thresholds. Resulting data is accumulated and data mined for component and functional relations within the IT system. Models of the system may then be adapte...

A user initially judges whether each of pieces of information input as learning information is necessary or unnecessary, matrix elements of an affirmative metric signal indicating the records of the necessary information and matrix elements of a negative metric signal indicating the records of the unnecessary information are calculated in a learning unit from a plurality of keywords attached to the necessary information and the unnecessary information. Thereafter, a plurality of keywords attache...

A compact neural network architecture is trainable to sense and classify an optical image directly projected onto it. The system is based upon the combination of a two-dimensional amorphous silicon photoconductor array and a liquid-crystal spatial light modulator. Appropriate filtering of the incident optical image upon capture is incorporated into the net work training rules, through a modification of the standard backpropagation training algorithm. Training of the network on two image classifi...

A computer implemented method, data processing system, and computer program product for monitoring system events and providing real-time response to security threats. System data is collected by monitors in the computing system. The expert system of the present invention compares the data against information in a knowledge base to identify a security threat to a system resource in a form of a system event and an action for mitigating effects of the system event. A determination is made as to whe...

Developmental systems (1/11) are provided with an autotelic mechanism for driving their development. An autotelic component (1) in the system uses a mapping mechanism (2) to produce an output based on a set of inputs. The mapping mechanism (2) implements a mapping that is dependent upon a state associated therewith. The content of the state is changed by a learning/repair module (3) based on interactions between the system and the environment, and so reflects knowledge gained by this component a...

A method for computer-generating interaction-specific knowledge base for rapidly improving or optimizing a performance of an object comprises performing, according to computer-designed test matrices, at least several automatic experimental cycles on selected control variables. In at least one of the automatic experimental cycles after the first the computer plans a new test matrix designed to minimize or remove at least one expected two-variable interaction from a main effect of a designated con...

A discovery system employing a neural network, training within this system, that is stimulated to generate novel output patterns through various forms of perturbation applied to it, a critic neural network likewise capable of training in situ within this system, that learns to associate such novel patterns with their utility or value while triggering reinforcement learning of the more useful or valuable of these patterns within the former net. The device is capable of bootstrapping itself to pro...

A neural network is trained using a training neural network having the same topology as the original network but having a differential network output and accepting also differential network inputs. This new training method enables deeper neural networks to be successfully trained by avoiding a problem occuring in conventional training methods in which errors vanish as they are propagated in the reverse direction through deep networks. An acceleration in convergence rate is achieved by adjusting ...

A method and apparatus for training and operating a neural network using gated data. The neural network is a mixture of experts that performs "soft" partitioning of a network of experts. In a specific embodiment, the technique is used to detect malignancy by analyzing skin surface potential data. In particular, the invention uses certain patient information, such as menstrual cycle information, to "gate" the expert output data into particular populations, i.e., the network is soft partitioned in...