neural network


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Related to neural network: Artificial neural network

neural network

A form of artificial intelligence that relies on a group of interconnected mathematical equations that accept input data and calculate an output. The more often the equations are used, the more reliable and valuable they become in drawing conclusions from data. Neural networks have been used in health care to interpret electrocardiograms and to make and suggest diagnoses.

neural network

a proposed system of interconnecting neurones to explain the higher brain functions such as memory perception and learning, where the pattern of resulting activity can be varied through the number and strength of connections between the constituent neurones.
References in periodicals archive ?
in+m]) and then use the RBF neural network to forecast the state in time n + m + k, k > o .
The level of employee perception towards work commitment due to the individual job satisfiers has been further analyzed using MLP neural network method in the following tables.
Neural network with 30 hidden layer neurons is constructed at first series, with 10 ones--at second series.
For training the neural network are used the results of the laboratory tests carried out in the model solution of sea water of different salinity for steels St3, 09G2, 20Cr13, 10CrSND and 12Cr18N10T (Fig.
We solve the solution [eta](t) of V([eta]) related to neural network (6), and there is:
After reorganizing the data, they are preprocessed into a format that the neural network can compute.
The neural network models contribution in determination of the adequate parametric models is important particularly during determination of potential non-linear relations.
A structured neural network that implements the gradient projection algorithm is developed to solve the constrained QP problem in a massively parallel fashion.
To generate the neural network algorithm, training and test sets, hs-CRP, total cholesterol/HDL ratio and risk estimate from the nomogram graphic can be entered directly into Excel.
A neuro-fuzzy system is an improved neural network wherein learning performance will be much better.
This claim is supported by tests such as the regression test and the neural network test, which confirms this nonlinearity through the rejection of linearity and chaos where justifiable.

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