This paper explains an integrated method with a new approach using experimental design matrix of experimental designs technique on the experimental data available from conventional experimentation, application of neural network for predicting the weld bead geometric descriptors and use of genetic algorithm for optimization of process parameters.
In summary, the twelve factors include scientific awareness, rational observation, experimentation, application, visualization, initiative, quantification, oblivion in learning, engrossment in learning, integrated learning, and acquiring of skills.
Exploratory factor analysis using the principal component analysis as the extraction method identified 12 factor components: scientific awareness, rational observation, experimentation, application, visualization, initiative, quantification, oblivion in learning, engrossment in learning, integrated learning, and acquiring of skills.
Its foundation derives from the work of thousands of psychologists who performed research, did aptitude and attitude measurements, experimentation, and applications work to resolve issues of testing, selection, placement, and training of millions of young men for uniformed military service in World Wars I and II.
It supports the notion that environment should be considered in biological experimentation and applications [ 9, 28].
The promise of new, cool technology depends on IT-smart business leaders, who discover the potential in them through experimentation and application.
And such discussions are fueled by recent advances in deep learning experimentations and applications, which are however often plagued by its craftiness, un-interpretability, and poor generalizability.
Higher level brain functions, such as memory, metacognition, executive abilities, language, and emotions, form the basis of adaptive and rich social interactions and their dysfunction can now be better understood through experimentation and application of advanced functional imaging techniques.
Our research results lead us to concur with researchers who have argued that the available and commonly cited models - all of which stem from experimentation and application in the 'north' [ 69]- are of limited use in Africa because they presume the presence of medical technologies, adequate numbers of skilled professional staff, and well-developed health systems [ 25, 28].
In the first phase of this work, we perform extensive experimentation by varying applications types, their input data sizes, and cluster sizes.
