Neural Networks

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Fuzzy cellular neural networks - Fuzzy cellular neural networks (FCNN) are special kinds of cellular neural networks. Each cell in an FCNN containing fuzzy operating abilities, yet, the entire network is governed by cellular computing laws.

Feedforward neural networks - A feedforward neural network is a neural network where connections between the units do not form a directed cycle. This is different from recurrent neural networks.

Quantum neural networks - Quantum neural networks (QNN) refers to the class of neural network models, artificial or biological, wich rely on principals inspired one way or another from quantum mechanics in general, usually more specifically inspired from quantum computing.

Instantaneously trained neural networks - In the artificial intelligence topic of machine learning, probably the best known example of an instant-training network is the Willshaw network, and its descendant the ADAM network (Advanced Distributed Associative Memory). These are both associative networks; this is an example of supervised learning.


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Stephen L. Thaler - Creator of the neural-network based Creativity Machine. Thaler has proposed it as a model of consciousness in which a neural network manifests what he calls a stream of consciousness while a second network filters the outputs from the first network. Thaler claims that these immense neural network cascades are capable of human level invention, ...

Neural Networks at your Fingertips - Neural network simulators for eight different network architectures with embedded example applications coded in portable ANSI C.

de Garis, Hugo - Evolvable neural network models, neural networks for programmable hardware, large neural networks.

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Web Links

Applied Engineering Network Neural Science -   Applied Engineering Network Neural Science Applied Neural Networks for Signal Processing by Fa-Long Luo, The use of neural networks in ...

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