Water-related disasters such as drought [13] and flood [14] have also been solved using GAs; for example, Sen and Oztopal [15] adopted a GA to achieve the optimum classification of rainy and non-rainy day occurrences based on selected hydrological data.
The general application areas are in samples of tea, juice (Liu et al. 2013), wine and water containing HMI. Prominent works done by Bhondekar et al. (2011), (Kaur et al. 2012) and (Kumar et al. 2012a, b) in the field of optimum classification of tea have used techniques such as social impact theory-based optimizer and support vector machines.
Following optimum classification schemes, the sensitivity of the network ranges from 79.2% to 87.5%, while the false positive rate ranges from 3.8%too 15.5%.
To illustrate graphically the result of tissue classification, two examples, each based on three genes or pair-wise gene expression ratios that altogether yielded the optimum classification efficiency for the prostate cancer are shown.
Training algorithms are utilized to achieve optimum classification, some of these are perceptron learning, Levenberg-Marquardt (LM), scaled conjugate gradient, and gradient-descent algorithms.
The decision function of SVM is listed as follows: (7) h (x ) = sgn (∑ i = 1 sv α i y i K (x, x i ) + b ), where sv represents the number of support vectors, α i is the Lagrange multiplier, b is the bias of optimum classification hyperplane, and K x, x i ) denotes the kernel function.
In view of the above five kinds of classification results, in order to determine the optimum classification, F test is used to F statistics: define the classification number as r, sample number of the no.
The study demonstrates that, for the subject data, the SVM machine learning algorithm performs the best in terms of optimum classification accuracy and false positive rates.
In such cases, the optimum classification model based on LMNN is worth investigating for future study.
This optimum classification threshold was confirmed by comparing accuracy across the full range of possible thresholds (from 0 to 1).
