As a high-order neural network, the Pi-sigma neural network has demonstrated its capacities
for fast learning and strong nonlinear processing. In this paper, a new algorithm is proposed …

Metaheuristic algorithms due to flexibility can be applied to a wide range of complex
engineering optimization problems. The effectiveness, efficiency, and adaptability of such …

When the traditional SDIF algorithm is applied to the binning of jittered signals, the jitter of
the PRI leads to a cumulative dispersion phenomenon, so that the accumulated value never …

This article aims to utilize neural networks (NNs) for the performance prediction and design
optimization of solid rocket motors (SRMs). The optimization of SRM design parameters is …

In order to implement multi-channel real-time acquisition of hydroacoustic data, the design of
a multi-channel digital geophone based on the MAX10M08 processor, which can perform …

Federated learning has garnered significant attention and been widely explored in various
domains as a means to train models while preserving data privacy through local data …

The existing coal mine gas drainage anomaly recognition needs to use manual assistance
to view relevant data analysis, lacking of independent and intelligent analysis means; The …

Nowadays, with the development of media technology, people receive more and more
information. Among them, the most important is the text classification technology. This paper …

To overcome the transparency and interpretability issues of neural network-based soft
sensing, a data-driven framework by combining neural network prediction models and …

The future information-based war has the characteristics of short time and high efficiency,
which needs to optimize the ammunition logistics system, timely and accurately to ensure …