In Section 3, the novel CAB algorithm and its characteristics are both described. Section 4 presents the experimental results and the comparative study. Finally, in Section 5, conclusions are given. 2. Biologic Fundamentals The remarkable collective behavior of organisms such as swarming ants, ...
However, the decline and fall of each dynasty are very similar, and its characteristics are also similar -corruptionis rampant, the central government has insufficient control over local areas, the people are in dire straits, there are partisan disputes between the DPRK and China, and local leade...
Among them, genes have the characteristics of modularized function. To be specific, the expression levels of genes with the same function are often similar, the so-called “co-expression”, which provides a basis for identifying gene modules from gene expression data. At present, the gene ...
Similar to wrapper algorithms, embedded algorithms depend on the classifier. However, in embedded algorithms, the relation between the classifier and feature selection is stronger than that between wrapper algorithms and feature selection because the classifier has its built-in technique to select meaningf...
The biologically inspired metaheuristic algorithm obtains the optimal solution by simulating the living habits or behavior characteristics of creatures in nature. It has been widely used in many fields. A new bio-inspired algorithm, Aphids Optimization A
Determining the impacts of drought depending on the characteristics and relationship among various climatic parameters and finding the patterns underlying them through association rules of the apriori algorithm are studied in Tadesse et al. (2004). Forecasting of the Indian monsoon rainfall using ...
Whale Optimization Algorithm (WOA), as a newly proposed swarm-based algorithm, has gradually become a popular approach for optimization problems in various
In the designer, creating and using a machine learning model is typically a three-step process: Configure a model, by choosing a particular type of algorithm, and then defining its parameters or hyperparameters. Provide a dataset that's labeled and has data compatible with the algorithm. Connect...
(2021a). When path planning is performed in dynamic scenarios, the energy consumption will be significant due to its characteristics. The proposed algorithm reduced the total energy consumed in the path planning process through an efficient pheromone enhancement mechanism based on gain function....
uncover patterns or characteristics to create the output. The method does not need to know the number of outputs ahead of time. The training inputs and intended outputs are only partially provided in semisupervised learning, and the algorithm learns to uncover the missing patterns and relations[...