Answers.Body: <blockquote>
  <p>What are mono-variable and multi-variable neural networks?</p>
  </blockquote>
  <p>I am not sure about this, because most (if not all useful) neural networks are multivariable neural networks (i.e. they contain multiple parameters). Even the perceptron usually contains more than one parameter, so that terminology isn't clear even to me. Maybe they are referring to the number of inputs (sometimes called variables), but I don't see why this distinction in this context would make sense.</p>
  <blockquote>
  <p>What are static and dynamic neural networks?</p>
  </blockquote>
  <p>To answer this question, I will first quote an excerpt from <a href="http://sedici.unlp.edu.ar/bitstream/handle/10915/1374/2-_Redes_neuronales_artificiales.pdf?sequence=6&amp;isAllowed=y" rel="nofollow noreferrer">this document</a> (written in Spanish) to provide some context to Spanish speakers (I am not a Spanish speaker, but I understand 99% of it).</p>
  <blockquote>
  <p>Un primer intento de clasificación puede separ <strong>estáticos</strong> y <strong>dinámicos o recurrentes</strong> (fig.2.1)</p>
  <p>Los modelos <strong>estáticos</strong> realizan un mapeo entre entrada y salida. <strong>Despreciando el tiempo de procesamiento interno</strong>, la salida se obtiene en forma inmediata en función de la entrada, no existe memoria ni dinámica de estados en el sistema neuronal.</p>
  <p>Por el contrario los sistemas <strong>recurrentes</strong> si la poseen, son sistemas realimentados que ante un estimulo de entrada evolucionan hasta converger a una salida estable.</p>
  <p>Casos tipicos de ambos sistemas son el <strong>Perceptrón</strong> (Rosemblatt, 1960a) (de una o múltiples capas) y la <strong>memoria asociativa de Hopfield</strong>, respectivamente
  (Tank, 1987).</p>
  </blockquote>
  <p>So, in this document, the word &quot;dynamic&quot; and &quot;recurrent&quot; are being used interchangeably. An example of a static (i.e. non-recurrent) neural network is the perceptron. An example of recurrent (or dynamic) neural network is the Hopfield network.</p>
  <p>Anyway, I recommend you contact the author of that article to ask for clarification (especially, about the mono-variable NNs)!</p>
  
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Answers.CreationDate: 2020-05-20T20:19:44.493Z
Answers.Text: i just asked to some people involved in that, and they said it refers to the kind of value the network receives in the variable, (Binary values) for monovariable, or Real values for multivariable : 1,2,3,4,5...
Answers.UserDisplayName: Caesar Cruez
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Answers.CreationDate: 2020-05-20T20:23:32.927Z
Answers.Text: @CaesarCruez Yes, that makes more sense (and it's definitely possible to have networks that work with binary values) than the assumption that the network has only 1 variable!
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Body: <p>In <a href="http://www.itvictoria.edu.mx/alumnos/Programas_2016/Ing%20Electronica/asignaturas/Control%20Digital.pdf" rel="nofollow noreferrer">this document</a>, the terms "Redes Neuronales estáticas monovariables" and "Redes Neuronales estáticas multivariables" are mentioned.</p>
  
  <p>What are mono-variable and multi-variable neural networks? Is it the same as a multi-layer or uni-layer NN?</p>
  
  <p>I have searched about multivariable/mono-variable static/dynamic neural networks in some books, but at least in those books there's no information about these topics.</p>
  
  <p>I have the idea it refers to the inputs/outputs, but I'm not sure.</p>
  
Tags: <neural-networks><terminology>
Title: What are mono-variable and multi-variable neural networks?
UserDisplayName: Caesar Cruez
ThreadText: # What are mono-variable and multi-variable neural networks?
  
  (Asked by: username_0 on 2020-05-19)
  
  In [this document](http://www.itvictoria.edu.mx/alumnos/Programas_2016/Ing%20Electronica/asignaturas/Control%20Digital.pdf), the terms "Redes Neuronales estáticas monovariables" and "Redes Neuronales estáticas multivariables" are mentioned.
  
  What are mono-variable and multi-variable neural networks? Is it the same as a multi-layer or uni-layer NN?
  
  I have searched about multivariable/mono-variable static/dynamic neural networks in some books, but at least in those books there's no information about these topics.
  
  I have the idea it refers to the inputs/outputs, but I'm not sure.
  
  **Tags:** neural-networks, terminology
  
  ---
  
  ## 1 answers
  
  ### Answer by username_1 on 2020-05-19. Score: 1
  
  > What are mono-variable and multi-variable neural networks?
  
  I am not sure about this, because most (if not all useful) neural networks are multivariable neural networks (i.e. they contain multiple parameters). Even the perceptron usually contains more than one parameter, so that terminology isn't clear even to me. Maybe they are referring to the number of inputs (sometimes called variables), but I don't see why this distinction in this context would make sense.
  
  > What are static and dynamic neural networks?
  
  To answer this question, I will first quote an excerpt from [this document](http://sedici.unlp.edu.ar/bitstream/handle/10915/1374/2-_Redes_neuronales_artificiales.pdf?sequence=6&isAllowed=y) (written in Spanish) to provide some context to Spanish speakers (I am not a Spanish speaker, but I understand 99% of it).
  
  > Un primer intento de clasificación puede separ **estáticos** y **dinámicos o recurrentes** (fig.2.1)
  >
  > Los modelos **estáticos** realizan un mapeo entre entrada y salida. **Despreciando el tiempo de procesamiento interno**, la salida se obtiene en forma inmediata en función de la entrada, no existe memoria ni dinámica de estados en el sistema neuronal.
  >
  > Por el contrario los sistemas **recurrentes** si la poseen, son sistemas realimentados que ante un estimulo de entrada evolucionan hasta converger a una salida estable.
  >
  > Casos tipicos de ambos sistemas son el **Perceptrón** (Rosemblatt, 1960a) (de una o múltiples capas) y la **memoria asociativa de Hopfield**, respectivamente
  > (Tank, 1987).
  
  So, in this document, the word "dynamic" and "recurrent" are being used interchangeably. An example of a static (i.e. non-recurrent) neural network is the perceptron. An example of recurrent (or dynamic) neural network is the Hopfield network.
  
  Anyway, I recommend you contact the author of that article to ask for clarification (especially, about the mono-variable NNs)!
  
  > **Comments:**
  > **username_0**: i just asked to some people involved in that, and they said it refers to the kind of value the network receives in the variable, (Binary values) for monovariable, or Real values for multivariable : 1,2,3,4,5...  
  > **username_1**: @CaesarCruez Yes, that makes more sense (and it's definitely possible to have networks that work with binary values) than the assumption that the network has only 1 variable!  
  
  ---
  
  