The M5Tree algorithm is utilized for creating a model tree, which runs as follows (Fig. 1). Assume that we have a collection T of training examples. Every case is described by the values of a fixed set of inputs and has a related output value. The point is to build a model that ...
M5P’s linear models enable the generation of numeric outputs, and the algorithm accommodates both nominal and continuous input attribute types. When processing a new instance, the traversal begins at the top of the tree and continues down to a leaf. Throughout this journey, decisions must be...
NF utilizes an NN learning algorithm for constructing fuzzy if–then rules with proper membership functions (MFs) from the stipulated input–output pairs. Numerous sorts of inference systems exist in the literature [48–50]. Sugeno's fuzzy structure of the NF system is computationally more ...
3D model is established by COMSOL Multiphysics 6.0, and a multi-objective optimization of the sensor structural parameters is carried out using the NSGA-II algorithm and MOPSO algorithm. The simulation results show that, the stability of the sensor optimized ...
Stacking is an ensemble ML algorithm that uses meta-learning. The benefit of stacking is that it can harness the capabilities of a range of well-performing models by using their output as input and ultimately achieve a ...
algorithms. A vision processing enhanced RISC instruction set is designed to accelerate the execution of deep learning algorithms. Moreover, this paper introduces a set of algorithm optimization methods from an algorithm/hardware co-design perspective, and...
s. Approach. For the encoding method, a series of random sequences were generated within a specific frequency band. The c-VEP signals were subsequently elicited through the application of on-type grid flashes that were modulated by these sequences....
algorithm and MOPSO algorithm. The simulation results show that, the stability of the sensor optimized by the MOPSO algorithm is improved by 56.14 and 87.48%, compared with that optimized by the NSGA-II algorithm and obtained empirically, provided t...
s. Approach. For the encoding method, a series of random sequences were generated within a specific frequency band. The c-VEP signals were subsequently elicited through the application of on-type grid flashes that were modulated by these sequences. For the calibration-fre...