Sentence examples for input weighted from inspiring English sources

In this paper we present a cycle detection based greedy algorithm, to obtain a minimal spanning tree of a given input weighted undirected graph.

Each neuron is a kind of microprocessor that connects two layers l and l + 1 through accepting a set of inputs from layer l, performing a weighted sum of all these inputs, and processing this weighted sum through an "activation function," which may be linear or nonlinear, and essentially makes this neuron "fire" when the input weighted sum is large enough.

Since we do not consider self interactions in the input weighted PPI graph, | E |max=| V |*(| V |−1)/2.

Using Bismark's methylation extractor output files as input, weighted methylation levels for each window were calculated as described (Schultz et al., 2012), with the requirement of at least 5-read coverage at each site.

The second input, weighted sum of the normalized HoL delay and time-averaged channel quality, enhances the system fairness.

Presentation of the training vector to the network and forward calculation of the input weighted sums and all the neurons output values, neuron by neuron, up to the output layer where the output vector is produced.

Furthermore, gu will be the neuronal sum of the inputs weighted by the weights ω and prime will denote the derivative with respect to time: υ′ = d υ/d t.

The dynamical rules of the model remind the threshold activation rules in model neural networks, where contributions of multiple inputs weighted by their connection strength W ij are simply added up and compared with the activation threshold of a node.

The nodes are nonlinear summing junctions that receive input from all other nodes, with each input being weighted by a strength associated with the corresponding incoming link.

It has been well established that unimodal sensory inputs are weighted in proportion to each input's precision in multisensory integration the optimal weighting principle.

The activity in the surrounding tissue (solid black line) was determined at each time point by subtracting the blood-sampled input function, weighted by the fractional volume of the carotid artery in the arterial voxels, from the average imaged activity of these voxels (dashed black line).