Sentence examples for use of soft computing from inspiring English sources

The use of soft computing methods can certainly simplify the control on these vehicle properties.

We propose the use of soft computing techniques to deal with this problem.

The present trend is towards the use of soft computing techniques for development of predictive models.

The use of soft computing algorithms in hardware-in-the-loop applications has been investigated.

The use of soft computing will also may provide new approaches and methodologies, and minimize the potential inconsistency of correlations.

There is a rather new tool for solving the aforesaid problem, namely the use of soft computing methods: fuzzy logic, artificial neural networks and genetic algorithms.

Since knowledge of such presumably nonlinear relations would be valuable for several reasons, this work attempts to uncover these relations using methods of soft computing, in particular neural networks.

In this paper, a comprehensive study is conducted on the prediction of the bubble point pressure and oil formation volume factor using two hybrid of soft computing techniques; a genetically optimised neural network and a genetically enhanced subtractive clustering for the parameter identification of an adaptive neuro-fuzzy inference system.

Recently non-parametric methods have also been used for performance comparison of soft computing algorithms [45], and they have been proven to be effective approaches.

In the field of soft computing, using the multilayer perceptron neural network (MLP), adaptive neuro-fuzzy inference system (ANFIS), support vector machine (SVM), neuro-fuzzy GMDH, and genetic programming (GP) has been reported (Riahi-Madvar et al. 2009; Tayfur and Singh 2005; Toprak and Cigizoglu 2008; Azamathulla and Ghani 2011; Sahay 2011; Najafzadeh and Azamathulla 2013; Parsaie et al. 2015).

Parametric statistical methods make assumptions about the distribution of the data (e.g., normal distribution), and they have been intensively used for evaluating the performance of soft computing algorithms.