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1. 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. [100%] 2023-03-17 [Technology]
2. Neural network: A neural network is a neural circuit of biological neurons, sometimes also called a biological neural network, or a network of artificial neurons or nodes in the case of an artificial neural network. Artificial neural networks are used for solving ... (Structure in biology and artificial intelligence) [92%] 2023-12-28 [Neural networks] [Computational neuroscience]...
3. Neural network: A neural network can refer to either a neural circuit of biological neurons (sometimes also called a biological neural network), or a network of artificial neurons or nodes in the case of an artificial neural network. Artificial neural networks are ... (Structure in biology and artificial intelligence) [92%] 2023-11-30 [Neural networks] [Computational neuroscience]...
4. Neural network: A network of many simple processors, each possibly having a small amount of local memory. The units are connected by communication channels which usually carry numeric (as opposed to symbolic) data, encoded by any of various means (cf. (Mathematics) [92%] 2023-12-31
5. Neural network: Articles Most recent articles on Neural network Most cited articles on Neural network Review articles on Neural network Articles on Neural network in N Eng J Med, Lancet, BMJ Media Powerpoint slides on Neural network Images of Neural network Photos ... [92%] 2023-12-28 [Computational neuroscience] [Psychology]...
6. Neural network (machine learning): In machine learning, a neural network (also artificial neural network or neural net, abbreviated ANN or NN) is a model inspired by the structure and function of biological neural networks in animal brains. An ANN consists of connected units or ... (Machine learning) [92%] 2024-09-03 [Computational statistics] [Artificial neural networks]...
7. Recurrent Neural Networks: A recurrent neural network (RNN) is a class of artificial neural networks where connections between nodes form a directed graph along a temporal sequence. This allows it to exhibit temporal dynamic behavior. [81%] 2023-12-21 [Neural Networks]
8. Recurrent neural networks: A recurrent neural network (RNN) is any network whose neurons send feedback signals to each other. This concept includes a huge number of possibilities. [81%] 2021-12-24 [Computational Intelligence] [Recurrent Neural Networks]...
9. 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). [81%] 2023-12-21 [Machine learning]
10. Quantum neural network: Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural computation were published independently in 1995 by Subhash Kak and Ron Chrisley, engaging with the theory of ... (Quantum Mechanics in Neural Networks) [75%] 2023-08-02 [Artificial neural networks] [Neural circuits]...
11. Recurrent neural network: A recurrent neural network (RNN) is a class of artificial neural networks where connections between nodes can create a cycle, allowing output from some nodes to affect subsequent input to the same nodes. This allows it to exhibit temporal dynamic ... (Computational model used in machine learning) [75%] 2023-11-04
12. 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) [75%] 2023-03-18 [Statistics] [Artificial neural networks]...
13. 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) [75%] 2023-12-28 [Computational statistics] [Artificial neural networks]...
14. Feedforward neural network: A feedforward neural network (FNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between its layers. Its flow is uni-directional, meaning that the information in the model flows ... (One of two broad types of artificial neural network) [75%] 2023-12-28 [Neural network architectures]
15. Oscillatory neural network: An oscillatory neural network (ONN) is an artificial neural network that uses coupled oscillators as neurons. Oscillatory neural networks are closely linked to the Kuramoto model, and are inspired by the phenomenon of neural oscillations in the brain. [75%] 2023-11-14 [Artificial neural networks]
16. Hybrid neural network: The term hybrid neural network can have two meanings: As for the first meaning, the artificial neurons and synapses in hybrid networks can be digital or analog. For the digital variant voltage clamps are used to monitor the membrane potential ... [75%] 2023-08-22 [Artificial neural networks] [Neural circuits]...
17. Optical neural network: An optical neural network is a physical implementation of an artificial neural network with optical components. Early optical neural networks used a photorefractive Volume hologram to interconnect arrays of input neurons to arrays of output with synaptic weights in proportion ... [75%] 2024-01-05 [Artificial neural networks] [Photonics]...
18. Quantum neural network: Quantum neural networks are computational neural network models which are based on the principles of quantum mechanics. The first ideas on quantum neural computation were published independently in 1995 by Subhash Kak and Ron Chrisley, engaging with the theory of ... (Quantum Mechanics in Neural Networks) [75%] 2023-12-05 [Artificial neural networks] [Neural circuits]...
19. Recurrent neural network: A recurrent neural network (RNN) is one of the two broad types of artificial neural network, characterized by direction of the flow of information between its layers. In contrast to uni-directional feedforward neural network, it is a bi-directional ... (Computational model used in machine learning) [75%] 2023-08-11 [Neural network architectures]
20. Semantic neural network: Semantic neural network (SNN) is based on John von Neumann's neural network [von Neumann, 1966] and Nikolai Amosov M-Network. There are limitations to a link topology for the von Neumann’s network but SNN accept a case without ... [75%] 2023-09-25 [Artificial neural networks] [Natural language processing]...