the neurons in the same layer are not connected. Neural networks with three layers have the capability to approximate any function. However, the determination of thenetwork architectureis not a trivial task, for example, the number of neurons in hidden layers and theiractivation functions. What a...
Computers can be broadly categorised based on size, purpose, data processing speed, and functionality. Whether it’s powerful supercomputers handling complex simulations or microcomputers designed for personal use, each type of computer serves a distinct role. This guide will walk you through the main...
The objective function (12) are partitioned into three sub-problems, which can be optimized iteratively by updating one variable with other ones fixed. The optimization procedures are detailed in the following subsections. Experimental results The performance of the proposed method is evaluated on ...
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Computer-aided analysis has made some achievements in pulse diagnosis, especially in pulse-wave-pattern classification (PWPC). For example, Wang et al. divided 407 sets of pulse data into five pulse patterns by using a Bayesian network based on six pulse parameters: depth, width, length, ...
Finally, the segmentation result is output using the softmax activation function. 2.2.1. DenseNet DenseNet is a densely connected network improved on ResNet. The combinatorial function is assumed to be 𝐻𝑙(·)Hl·, l refers to the number of layers, and the output of each layer is ...
A smartphone with a mobile application, using the Android operating system, was used to implement a human–computer interaction system. To detect drowsiness, the most important visual indicators that reflect the driver’s condition are the behavior of the eyes, the side and front of the head, ...
The classification of nonconventional artificial neural units is founded first according to nonlinearity of aggregating function, second according to the dynamic order, third according to time-delay implementation within neural units. 展开 关键词: adaptable time delay nonconventional artificial neural unit ...
Binary and multi-class classifications are subcategories of single-label classification that concern learning from a set of samples that are associated with a single label. From: Pattern Recognition, 2021 About this pageSet alert Also in subject area: Computer ScienceDiscover other topics On this pag...