"competitive methods" is a correct and usable phrase in written English.
One example of using this phrase could be: "In order to gain an edge over their competitors, the company implemented new and innovative competitive methods within their marketing strategy." This sentence shows that the company is using specific methods in order to compete with other businesses in their market.
By means of comparison with competitive methods, the effectiveness of the proposed detector has been verified.
Several tests of different Artificial Neural Network (ANN) architectures and learning algorithms are carried out to assess their applicability as competitive methods to the harmonic analysis.
This work also presents computational tests using benchmark instances to compare our implementation with the most competitive methods from the literature.
In experiments using the WSDream QoS dataset, our proposed method outperforms the other competitive methods with respect to accuracy and alleviates the sparsity and cold-start issues.
The limitation of detection (LOD) of this SPR biosensor was ca. 1.5 pM, which was an approximately ca. 2 3 order of magnitude lower than that of those SPR biosensors which utilized competitive methods.
The results of the developed model are compared with other four competitive methods such as ARMA-particle swarm optimization (PSO), ARMA-cat swarm optimization (CSO), ARMA-bacterial foraging optimization (BFO) and ARMA-forward backward least mean square (FBLMS).
Competitive methods can be seen at a glance by observing the significantly high values of the performance indicators.
MFS and HPSS can still be considered to be competitive methods, unlike NMPCF (this method will be analyzed later).
All competitive methods are run on a Windows computer with dual-core CPU 2.6 GHz and 4 GB RAM.
The competitive methods, i.e., LPA-ICI and bilateral filtering, should not be, however, discarded as fast implementations of those do exist as well.
Simulation results show that the proposed method is capable of reducing noise with little speech degradation and the overall performance is superior to several competitive methods.
