[go: up one dir, main page]

Dodd, 1991 - Google Patents

Artificial Neural Network for Alarm-State Monitoring

Dodd, 1991

Document ID
4273394165624886023
Author
Dodd N
Publication year
Publication venue
Applications of Artificial Intelligence in Engineering VI

External Links

Snippet

A device is described capable of signalling novelty in the state of a system monitored by an arbitrary number of instruments. The device learns by being shown examples only of “healthy” signals from the system and infers the class of “alarm” signals by default. The …
Continue reading at link.springer.com (other versions)

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/04Architectures, e.g. interconnection topology
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/08Learning methods
    • G06N3/082Learning methods modifying the architecture, e.g. adding or deleting nodes or connections, pruning
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N3/00Computer systems based on biological models
    • G06N3/02Computer systems based on biological models using neural network models
    • G06N3/06Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons
    • G06N3/063Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means
    • G06N3/0635Physical realisation, i.e. hardware implementation of neural networks, neurons or parts of neurons using electronic means using analogue means
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N5/00Computer systems utilising knowledge based models
    • G06N5/04Inference methods or devices
    • GPHYSICS
    • G06COMPUTING; CALCULATING; COUNTING
    • G06NCOMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N99/00Subject matter not provided for in other groups of this subclass
    • G06N99/005Learning machines, i.e. computer in which a programme is changed according to experience gained by the machine itself during a complete run

Similar Documents

Publication Publication Date Title
Wang The time dimension for scene analysis
US5092343A (en) Waveform analysis apparatus and method using neural network techniques
Boone et al. Neural networks in radiology: an introduction and evaluation in a signal detection task
Wu et al. Regulating the nonlinear dynamics of olfactory cortex
RU2193797C2 (en) Content-addressable memory device (alternatives) and image identification method (alternatives)
Kumar et al. Application of Neurological Networks in an AI for Chess Game
Aitken An architecture for learning to behave
Liljenström Autonomous learning with complex dynamics
Cariani Adaptivity and emergence in organisms and devices
Murray Novelty detection using products of simple experts—a potential architecture for embedded systems
GB2258311A (en) Monitoring a plurality of parameters
Dodd Artificial Neural Network for Alarm-State Monitoring
Maass et al. Theory of the computational function of microcircuit dynamics
Wennekers¹ et al. Modelling generic cognitive functions with operational Hebbian cell assemblies
Liljenström Fluctuations in neural systems: from subcellular to network levels
Ye et al. Cognitive engineering based knowledge representation in neural networks
Villa et al. Hierarchical structures in hybrid systems
Rust et al. Towards computational neural systems through developmental evolution
Wang et al. Van der pol oscillator networks
Kopparti et al. Factors for the Generalisation of Identity Relations by Neural Networks
Pokorny et al. Associations between memory traces emerge in a generic neural circuit model through STDP
Sram et al. Minnesota code: A fuzzy logic-based approach
Gainey Jr Predicting nonlinear time series
Carsetti The embodied meaning: self-organisation and symbolic dynamics in visual cognition
Hadjiprocopis A Neural Network Implementation on a Transputer System and Applications