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1. Artificial Neural Networks: In many cases technology adopts solutions that were generated by evolutionary processes in biology. The same can be applied on Artificial Neural Networks (ANN). [100%] 2023-12-21 [Machine learning]
2. Artificial neural network: Artificial neural networks (ANNs), usually simply called neural networks (NNs) or neural nets, are computing systems inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial ... (Computational model used in machine learning, based on connected, hierarchical functions) [95%] 2023-12-28 [Computational statistics] [Artificial neural networks]...
3. Artificial neural network: Artificial neural networks (ANNs, also shortened to neural networks (NNs) or neural nets) are a branch of machine learning models that are built using principles of neuronal organization discovered by connectionism in the biological neural networks constituting animal brains. An ... (Computational model used in machine learning, based on connected, hierarchical functions) [95%] 2023-12-09 [Computational statistics] [Artificial neural networks]...
4. Artificial neural network: Artificial neural networks (ANNs), usually simply called neural networks (NNs) or neural nets, are computing systems inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial ... (Computational model used in machine learning, based on connected, hierarchical functions) [95%] 2023-10-31 [Statistics] [Artificial neural networks]...
5. Artificial neural network: Artificial Neural Networks (ANNs for short) are a connectionist processing model inspired by the architecture of real brains. Artificial neural networks are composed of simple nodes called artificial neurons or Processing Elements (PEs). [95%] 2023-06-10
6. Artificial neural network: Artificial neural networks (ANNs), usually simply called neural networks (NNs) or neural nets, are computing systems inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial ... (Computational model used in machine learning, based on connected, hierarchical functions) [95%] 2024-08-20 [Computational statistics] [Artificial neural networks]...
7. Neurona artificial: Las neuronas artificiales son microchips que pretenden imitar las funciones de las neuronas biológicas. Esta tecnología se está investigando y desarrollando actualmente y se pretende que dentro de unos años se pueda empezar a utilizar en los ámbitos de salud. [92%] 2025-04-06
8. Artficial neural network: Artificial neural networks (ANNs), usually simply called neural networks (NNs) or neural nets, are computing systems inspired by the biological neural networks that constitute animal brains. An ANN is based on a collection of connected units or nodes called artificial ... (Computational model used in machine learning, based on connected, hierarchical functions) [91%] 2023-03-18 [Statistics] [Artificial neural networks]...
9. Artificial neuron: An artificial neuron is a mathematical function conceived as a model of biological neurons, a neural network. Artificial neurons are elementary units in an artificial neural network. (Mathematical function conceived as a crude model) [82%] 2023-12-26 [Artificial neural networks] [American inventions]...
10. Artificial neuron: Artificial neurons are processing units based on a neural model, often inspired on the biological neurons. The first artificial neuron model was created by McCullough and Pitts, since when newer and more realistic models have appeared. [82%] 2023-12-26
11. Supersymmetric Artificial Neural Network: Thought Curvature or the "Supersymmetric Artificial Neural Network" hypothesis, (accepted to the 2019 String Theory and Cosmology Conference GRC ) is a Lie Superalgebra bound algorithmic learning model, on the horizon of evidence pertaining to Supersymmetry in the biological brain. It ... [82%] 2023-03-21
12. Red neuronal artificial: Las redes neuronales artificiales (también conocidas como sistemas conexionistas) son un modelo computacional evolucionado a partir de diversas aportaciones científicas que están registradas en la historia.​ Consiste en un conjunto de unidades, llamadas neuronas artificiales, conectadas entre sí para transmitirse señales. [81%] 2024-06-14
13. Types of artificial neural networks: There are many types of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used to approximate functions that are generally unknown. (Classification of Artificial Neural Networks (ANNs)) [77%] 2023-12-21 [Neural network architectures] [Computational statistics]...
14. Types of artificial neural networks: There are many types of artificial neural networks (ANN). Artificial neural networks are computational models inspired by biological neural networks, and are used to approximate functions that are generally unknown. (Classification of Artificial Neural Networks (ANNs)) [77%] 2023-10-31 [Computational statistics] [Artificial neural networks]...
15. History of artificial neural networks: The simplest kind of feedforward neural network is a linear network, which consists of a single layer of output nodes; the inputs are fed directly to the outputs via a series of weights. The sum of the products of the ... (Aspect of history) [77%] 2023-12-21 [Computational statistics] [Artificial neural networks]...
16. Mathematics of artificial neural networks: An artificial neural network (ANN) combines biological principles with advanced statistics to solve problems in domains such as pattern recognition and game-play. ANNs adopt the basic model of neuron analogues connected to each other in a variety of ways. [77%] 2023-12-26 [Computational statistics] [Artificial neural networks]...
17. History of artificial neural networks: The simplest kind of feedforward neural network is a linear network, which consists of a single layer of output nodes; the inputs are fed directly to the outputs via a series of weights. The sum of the products of the ... (Aspect of history) [77%] 2023-12-22 [Computational statistics] [Artificial neural networks]...
18. Neural networks: Neural networks are computer models that attempt to imitate the parallel processing that occurs in the human brain. They are typically viewed as having some number of nodes, each with one or more inputs and one output. [74%] 2023-03-17 [Technology]
19. Learning and neural networks: A Perceptron is a type of Feedforward neural network which is commonly used in Artificial Intelligence for a wide range of classification and prediction problems. Here, however, we will look only at how to use them to solve classification problems. [71%] 2024-01-12 [Artificial intelligence] [Social psychology]...
20. Cultured neuronal network: A cultured neuronal network is a cell culture of neurons that is used as a model to study the central nervous system, especially the brain. Often, cultured neuronal networks are connected to an input/output device such as a multi ... (Cell culture of neurons) [70%] 2023-04-23 [Computational neuroscience] [Neural circuits]...