Product Innovation Design Method Based on BP Neural Network by Shihui Huang

“…Based on BP neural network, a nonlinear mapping model between product attribute space and product semantic space is constructed, and the generalization ability of the model is evaluated, which verifies the feasibility and effectiveness of this method. …”
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Loan classification using a feed-forward neural network by U. I. Behunkou

“…The purpose of the study is to construct and study the use of a feed-forward neural network to solve the problem of loan classification, as well as to conduct a comparative analysis of the neural networkbased approach with the existing approach based on logistic regression.Methods. …”
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Enhanced Sub-graph Reconstruction Graph Neural Network for Recommendation by Zhe Liu, Xiaojun Lou, Jian Li, Guanjun Liu

“…To solve this problem, we propose an enhanced sub-graph reconstruction graph neural network for recommendation (SRCF), using a heterogeneous graph neural network based encoder-decoder learn potential relationships between users (or items), and reconstruct sub-graphs based on those relationships. …”
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Topic adversarial neural network for cross-topic cyberbullying detection by Shufeng Xiong, Wenzhuo Liu, Bingkun Wang, Yinchao Che, Lei Shi

“…It leverages adversarial training to disentangle topic-related information while retaining universal linguistic cues relevant to harmful content. We construct a multi-topic dataset from major Chinese social media platforms, such as Weibo and Tieba, to evaluate the generalization performance of TANN in real-world scenarios. …”
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Slope deformation prediction based on GA–BP neural networks by Wenhui TAN, Kai LI, Huimin LIU, Meifeng CAI, Qifeng GUO

“…Currently, a popular approach is using the backpropagation (BP) neural network to construct a time-series deformation prediction model for slopes. …”
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High-granularity Dual-readout Calorimeter: Evolution of a Classic Prototype by Akchurin Nural, Cash James, Damgov Jordan, Delashaw Xander, Lamichhane Kamal, Harris Miles, Kelley Mitch, Kunori Shuichi, Mergate-Cacace Harold, Peltola Timo, Schneider Odin, Sewell Julian

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Impact of agricultural industry transformation based on deep learning model evaluation and metaheuristic algorithms under dual carbon strategy by Xuan Zhao, Weiyun Tang, Qiuyan Liu, Hongtao Cao, Fei Chen

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Neural-Driven heuristic for strip packing trained with Black-Box optimization by Mariusz Kaleta, Tomasz Śliwiński

“…In this paper, we propose a neural-driven constructive heuristic that leverages a lightware neural network trained via black-box optimization to dynamically evaluate item placement decisions. …”
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Construction Cost Budget Control Based on the Dynamic Distributed Clustering Algorithm by Junqing Li, Yongbing Li

“…Moreover, this paper constructs an executive evaluation neural network to approximate the iterative control law and iterative performance index function, respectively. …”
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Product perceptual design optimization model based on BP neural network by Lei Yong

“…The principal component analysis method selects the perceptual evaluation index, the morphological analysis method disassembles the product into several main structures, and the BP neural network constructs the perceptual optimization model.ResultsTaking the paint tray as an example, according to the trained BP neural network, the shape factor combination with the highest perceptual evaluation value is predicted. …”
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Pattern memory cannot be completely and truly realized in deep neural networks by Tingting Li, Ruimin Lyu, Zhenping Xie

“…Abstract The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution. …”
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Forecasting the bearing capacity of the mixed soil using artificial neural network by Abdoullah Namdar

“…In this study, artificial neural network is proposed for the evaluation of the mixed soil characteristics to forecast the safe bearing capacity of soil due to the mechanical properties of the soil interaction phenomenon. …”
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Comparative Analysis of Classical and Neural Networks based ChatBot’s Techniques by Imran ullah khan, junaid javed, Ahthasham Sajid, Shahnoor, Iqra Tabassum

“…Numerous approaches have been studied, from primitive types of hard-coded response generators to contemporary ways of constructing artificial intelligence. These are classified as rule-based or neural network-based systems. …”
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Graph Attention Neural Network Model With Behavior Features for Knowledge Tracking by Wei Zhang, Sen Hu, Kaiyuan Qu

“…Then, GAKT-BF designs a question relationship extraction module and constructs a graph of correlations between questions and questions, uses graph attention neural network (GAT) to extract question vector representations, and finally predicts students’ next answers through long short-term memory (LSTM). …”
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Drilling Rate of Penetration Prediction Based on CBT-LSTM Neural Network by Kai Bai, Siyi Jin, Zhaoshuo Zhang, Shengsheng Dai

“…To address these issues, this study proposes an improved LSTM neural network model for ROP prediction (CBT-LSTM). …”
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AIpollen: An Analytic Website for Pollen Identification Through Convolutional Neural Networks by Xingchen Yu, Jiawen Zhao, Zhenxiu Xu, Junrong Wei, Qi Wang, Feng Shen, Xiaozeng Yang, Zhonglong Guo

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The analysis of marketing performance in E-commerce live broadcast platform based on big data and deep learning by Yuanyuan Wei, Xingchen Pan

“…Firstly, by synthesizing large-scale datasets and surveys, the study constructs a series of performance evaluation indicators including user participation, content quality, commodity sales effect, user satisfaction, and platform promotion effect. …”
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Effective Multifocus Image Fusion Based on HVS and BP Neural Network by Yong Yang, Wenjuan Zheng, Shuying Huang

“…In this paper, a novel multifocus image fusion method based on human visual system (HVS) and back propagation (BP) neural network is presented. Three features which reflect the clarity of a pixel are firstly extracted and used to train a BP neural network to determine which pixel is clearer. …”
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Study of the Current–Voltage Characteristics of Membrane Systems Using Neural Networks by Evgenia Kirillova, Anna Kovalenko, Makhamet Urtenov

“…This article is dedicated to the construction of neural networks for the prediction of the current–voltage characteristic (CVC). …”
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Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field With Neural Representations by Shuaifeng Jiang, Qi Qu, Xiaqing Pan, Abhishek K. Agrawal, Richard Newcombe, Ahmed Alkhateeb

“…To address these challenges, motivated by the latest advancements in computer vision (3D reconstruction and neural radiance field), this paper develops a physics-inspired and modular deep learning framework for practically constructing learnable wireless digital twins. …”
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