Input Vector

An Input Vector is a Vector that contains all input values that are fed to a model.

• AKA: Input Sequence.
• Context:
  • It is usually expressed as $\vec{X} = \{x_1, x_2, \cdots , x_m\} $
• Example(s):
  • an Artificial Neural Network Input Vector,
  • a function input values $f(X)$,
  • a Test Vector.
  • …
• Counter-Example(s):
  • a Bias Neuron,
  • a Neuron Output Vector,
  • a Neural Network Weight,
  • an Output Vector.
• See: Task Input, Artificial Neural Network, MCP Neuron Model, Neuron Activation Function, Neural Network Weight, Neural Network Connection.

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