In this section, we introduce a modified MM-NcO with improved
initialization by exploiting prior information of both support and amplitude of the sparse signal.
To overcome this limitation, which significantly slows down the search algorithm, we proposed a new
initialization approach with the use of pointers, so that it ensures the generation of only SAW conformation and also provides the process to be significantly faster than random
initialization.
(3) In the
initialization space acquired in step 2, randomly initiate a swarm of particles [mathematical expression not reproducible] whose position might be the potential solution to the optimization problem.
In proposed method a k-means++
initialization algorithm is developed in the situation with a very large amount of data by virtue of MapReduce.
The vortex
initialization problem can be viewed as follows: given the data sets of (u, v, p, T, q, etc.) from global analysis data (e.g., FNL and GFS (global forecast system) data), how can we correct them to new data ([u.sup.*], [v.sup.*], [p.sup.*], [T.sup.*], [q.sup.*], etc.)?
(ii) Greedy
initialization: the initial Team Plan is created using a greedy approach to form feasible starting subtours.
For continence and computation simplicity, random parameter
initialization is done and algorithm is started from the E-Step first, computing weight vector from randomly initialized parameters.
Therefore, random
initialization of SLFN hidden node parameters may have effect on the modeling performances [3], and to improve the SLFN it requires high complexity performance and this may lead to ill condition, which means that an ELM may not be robust enough to capture variations in data [4].
(i) In order to highlight the drawbacks of employing existing nonadaptive network
initialization protocols in dense wireless sensor networks with unknown topology through comprehensive performance evaluations, we propose an Adaptive Network
Initialization protocol with Single Beaconing approach (ANI-SB) which integrates the initial neighbor search with a link quality estimation technique.