44 lines
1.3 KiB
Markdown
44 lines
1.3 KiB
Markdown
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# Pattern Association
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- Associative memory
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- Learns by association
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- Autoassociation
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- Store a set of patterns by repeatedly presenting them in the network
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- Then presented partial or distorted stored pattern
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- Recall intended
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- Input and output data spaces are same dimensionality
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- Heteroassociation
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- Arbitrary set of input patterns paired with another arbitrary set of output patterns
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- Supervised instead of unsupervised
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- No required relationship between input/output dimensionality
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- Stages
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- Storage
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- Recall
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# Pattern Recognition
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- Received pattern/signal is assigned to one of a prescribed number of classes
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# Function Approximation
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- System Identification
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- Inverse System
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# Control
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- Learn to control a process or critical part of a system
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# Filtering
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- Filtering
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- Extraction of information about a quantity of interest at discrete time $n$ by using data from time up to $n$
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- Smoothing
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- Use information past time $n$
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- Expect smoother result
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- Delay in processing
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- Prediction
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- Predict later data using current and previous
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# Beamforming
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- Spatial filtering
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- Distinguish spatial properties of a target signal and background noise
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- Similar to bats
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- Used in radar and sonar
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