# stochastic neural network

> type of artificial neural network

**Wikidata**: [Q7617824](https://www.wikidata.org/wiki/Q7617824)  
**Wikipedia**: [English](https://en.wikipedia.org/wiki/Stochastic_neural_network)  
**Source**: https://4ort.xyz/entity/stochastic-neural-network

## Summary
A stochastic neural network is a type of artificial neural network designed as a computational model for machine learning. It falls under the broader category of artificial neural networks, which are based on connected, hierarchical functions. These networks are closely associated with architectures such as the restricted Boltzmann machine.

## Key Facts
*   **Definition:** A stochastic neural network is a type of artificial neural network.
*   **Parent Classification:** It is a subclass of "artificial neural network," a computational model used in machine learning based on connected, hierarchical functions.
*   **Acronyms:** It is frequently abbreviated as **SNN**.
*   **Associated Class:** The restricted Boltzmann machine is a related class, defined as a Boltzmann machine whose neurons form a bipartite graph with visible and hidden neurons.
*   **Alternative Names:** It is also known as "red neuronal estocastica" (Spanish).
*   **Identifier Data:** The entity holds the Freebase ID `/m/06k3g_` and formerly held the Microsoft Academic ID `86582703`.
*   **Wikipedia Reach:** The topic maintains a Wikipedia presence across five languages: Arabic (ar), English (en), Spanish (es), Chinese (zh), and Cantonese (zh_yue).

## FAQs
### Q: What is a stochastic neural network?
A: A stochastic neural network is a specific type of artificial neural network used as a computational model in machine learning. It is distinguished by its classification within the broader hierarchy of connected, hierarchical functions.

### Q: How does a stochastic neural network relate to a restricted Boltzmann machine?
A: The restricted Boltzmann machine is identified as a related class of network. It is characterized by neurons that form a bipartite graph consisting of visible and hidden neurons.

### Q: What are the aliases for stochastic neural network?
A: The entity is commonly abbreviated as SNN and is referred to as "red neuronal estocastica" in Spanish.

## Why It Matters
Stochastic neural networks represent a distinct classification within the broader field of artificial intelligence. Their significance lies in their role as a computational model that expands the capabilities of standard artificial neural networks. By existing as a subclass of connected, hierarchical functions, they provide the structural basis for advanced machine learning tasks.

The relevance of this entity is further highlighted by its association with the restricted Boltzmann machine, a architecture fundamental to deep learning structures. The explicit categorization of SNNs within academic and knowledge bases (such as Wikidata and Freebase) underscores their established role in the taxonomy of computational intelligence. While standard neural networks often rely on deterministic inputs, the existence of this specific classification points to the necessity of varied architectures to handle complex data patterns.

## Notable For
*   **Classification:** Being a direct subclass of the artificial neural network.
*   **Association:** Its close relationship to the restricted Boltzmann machine class.
*   **Multilingual Presence:** Having established documentation across major linguistic regions including English, Spanish, Chinese, and Arabic.
*   **Taxonomy:** Serving as a primary category for computational models based on connected, hierarchical functions.

## Body
### Classification and Hierarchy
The stochastic neural network is fundamentally defined as a **type of artificial neural network**. In the hierarchy of machine learning, the artificial neural network serves as the parent category (or "Thing"), described as a computational model based on connected, hierarchical functions. The stochastic neural network inherits this framework as a specific subclass.

### Associated Architectures
Within the knowledge structure of neural networks, the stochastic neural network is linked to the **restricted Boltzmann machine**. This specific class is defined by a structure in which neurons form a bipartite graph. This graph structure distinguishes itself by separating neurons into two distinct categories:
*   **Visible neurons**
*   **Hidden neurons**

### Identifiers and Metadata
The entity is tracked across several knowledge management systems:
*   **Wikidata:** Described simply as a "type of artificial neural network."
*   **Freebase ID:** `/m/06k3g_`
*   **Microsoft Academic ID:** `86582703` (Note: this service is discontinued).
*   **Wikipedia:** The article "Stochastic neural network" exists in 5 language variants and holds a sitelink count of 5.

## References

1. [OpenAlex](https://docs.openalex.org/download-snapshot/snapshot-data-format)