- layer
- a subgroup of processing elements
- input layer
- usually the first layer
- output layer
- usually the last layer
- hidden layers
- layers in between the input and the output layer
- cells, neuromimes, artificial neurons
- processing elements
- threshold function
- used to determine the output of a neuron in the output layer
- connections
- synapses between cells
- autoassociation
- pattern matching (A => A)
- heteroassociation
- pattern matching (A => B)
- learning
- process of changing the weights
- training
- the act in which a network participates when learning is employed
- self-organizing
- unsupervised learning
- supervised learning
- external criteria are used to be matched by the network output
- LSTM
- long/short term memory -- preservation of intended training on the original set
- structure
- how many layers, what functions they have (input or output), interconnections & their functions
- encoding
- paradigm used for the determination of and changing of weights on the connections between neurons
- recall
- getting an expected output for a given input
- correlation matrix
- aka weight matrix
- hidden layer
- aka Kohonen or Grossberg layer
- cooperation
- the attempt between neurons in one neuron aiding the prospect of another neuron's firing -- vehicle for these phenomena is the connection weight
- negative connection value could mean either inhibition or competition
- competition
- the attempt between neurons to individually excel with higher output
- orthogonal
- dot product results in zero
- Hamming distance
- easier method than Euclidean distance to measure proximity between patterns