Neural Net

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Neural Net

A computerized system designed to imitate human thought. Specifically, neural nets are designed to make or recommend investment decisions in light of changing circumstances in a market. Using neural nets has become more common as computers have become more accessible.
References in periodicals archive ?
The concept of using neural networks so that computers are able to recognise patterns was introduced in the 1980s.
Using an optical chip to perform neural network computations more efficiently than is possible with digital computers could allow more complex problems to be solved, said research team leader Shanhui Fan of Stanford University.
What we want to see here is, if we show a bunch of examples of these particles, many many different particles, to a neural network, whether the neural network can develop 'intuition' for it."
Neural networks are good at solving pattern recognition problems.
Aihara, "Complex-valued multistate associative memory with nonlinear multilevel functions for gray-level image reconstruction," IEEE Transactions on Neural Networks, vol.
Competitive neural networks that use an unsupervised learning algorithm were also trained and tested using the same images.
Abdelwahed, "Applying neural Networks for simplified data Encryption Standards (SDES) Cipher System Cryptoanalysis," International Arab Journal of Information Technology, vol.
Meskin, "Fault detection and isolation of a dual spool gas turbine engine using dynamic neural networks and multiple model approach," Information Sciences, vol.
Tune: Layer-by-layer performance metrics for both industry-standard and custom-designed neural networks enable effective tuning for optimal real-world performance at ultra-low power.
These computed results are applied to train probabilistic neural networks to predict the porosity volume.Afterwards, average porosity maps are constructed to define the lateral variations of porosity values and the prospective zones with low risk of well failure in sense of hydrocarbon production are identified.
Predicting total organic carbon removal efficiency and coagulation dosage using artificial neural networks. Environmental Engineering Science, 29(8), 743-750.
Keywords: Robust Stability, BAM Neural Networks, Lyapunov Theorems, Interval Matrices.

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