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Artificial neural network and Glossary of graph theory terms

Shortcuts: Differences, Similarities, Jaccard Similarity Coefficient, References.

Difference between Artificial neural network and Glossary of graph theory terms

Artificial neural network vs. Glossary of graph theory terms

Artificial neural networks (ANNs) or connectionist systems are computing systems vaguely inspired by the biological neural networks that constitute animal brains. This is a glossary of graph theory terms.

Similarities between Artificial neural network and Glossary of graph theory terms

Artificial neural network and Glossary of graph theory terms have 6 things in common (in Unionpedia): Bipartite graph, Cycle (graph theory), Directed acyclic graph, Directed graph, Graph (discrete mathematics), Greedy algorithm.

Bipartite graph

In the mathematical field of graph theory, a bipartite graph (or bigraph) is a graph whose vertices can be divided into two disjoint and independent sets U and V such that every edge connects a vertex in U to one in V. Vertex sets U and V are usually called the parts of the graph.

Artificial neural network and Bipartite graph · Bipartite graph and Glossary of graph theory terms · See more »

Cycle (graph theory)

In graph theory, a cycle is a path of edges and vertices wherein a vertex is reachable from itself.

Artificial neural network and Cycle (graph theory) · Cycle (graph theory) and Glossary of graph theory terms · See more »

Directed acyclic graph

In mathematics and computer science, a directed acyclic graph (DAG), is a finite directed graph with no directed cycles.

Artificial neural network and Directed acyclic graph · Directed acyclic graph and Glossary of graph theory terms · See more »

Directed graph

In mathematics, and more specifically in graph theory, a directed graph (or digraph) is a graph that is a set of vertices connected by edges, where the edges have a direction associated with them.

Artificial neural network and Directed graph · Directed graph and Glossary of graph theory terms · See more »

Graph (discrete mathematics)

In mathematics, and more specifically in graph theory, a graph is a structure amounting to a set of objects in which some pairs of the objects are in some sense "related".

Artificial neural network and Graph (discrete mathematics) · Glossary of graph theory terms and Graph (discrete mathematics) · See more »

Greedy algorithm

A greedy algorithm is an algorithmic paradigm that follows the problem solving heuristic of making the locally optimal choice at each stage with the intent of finding a global optimum.

Artificial neural network and Greedy algorithm · Glossary of graph theory terms and Greedy algorithm · See more »

The list above answers the following questions

Artificial neural network and Glossary of graph theory terms Comparison

Artificial neural network has 329 relations, while Glossary of graph theory terms has 265. As they have in common 6, the Jaccard index is 1.01% = 6 / (329 + 265).

References

This article shows the relationship between Artificial neural network and Glossary of graph theory terms. To access each article from which the information was extracted, please visit:

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