Titlebook: Neural Computing for Advanced Applications; 5th International Co Haijun Zhang,Xianxian Li,Qian He Conference proceedings 2025 The Editor(s)

遮陽傘

書目名稱Neural Computing for Advanced Applications影響因子(影響力)




書目名稱Neural Computing for Advanced Applications影響因子(影響力)學(xué)科排名




書目名稱Neural Computing for Advanced Applications網(wǎng)絡(luò)公開度




書目名稱Neural Computing for Advanced Applications網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Neural Computing for Advanced Applications被引頻次




書目名稱Neural Computing for Advanced Applications被引頻次學(xué)科排名




書目名稱Neural Computing for Advanced Applications年度引用




書目名稱Neural Computing for Advanced Applications年度引用學(xué)科排名




書目名稱Neural Computing for Advanced Applications讀者反饋




書目名稱Neural Computing for Advanced Applications讀者反饋學(xué)科排名

物質(zhì)

Conference proceedings 2025s, their engineering applications, and benchmarks...Part III: Natural language processing, knowledge graphs, recommender systems, multimodal Deep Learning, and their applications;?Fault diagnosis and forecasting, prognostic management, Time-series analysis, and cyber-physical system security..

Hot-Flash

FOIL

Dual-Population Adaptive Strategy Comprehensive Learning Particle Swarm Optimization017 standard benchmark tests have shown that DPAS-CLPSO significantly outperforms several well-known algorithms in both 30D and 50D problem spaces. Lastly, the effectiveness of the algorithm in solving complex optimization problems is also underscored by statistical validation through rank sum tests.

賠償

Application of?Machine Learning in?Enterprise Financial Risk Assessment: A Study About China’s A-ShaM, which adds time-series factors, performs poorly, which is speculated that it may be related to the incompatibility of the characteristics of the financial data, the reliance on the time-series features, and the need for financial fine features. (ii) Audit opinion, Net Profit and ROA are key influencing factors.

初學(xué)者

Optimization of?Rural Integrated Energy System with?Shared Energy Storage on?Multiple-TimescalesS case analysis from Shandong Province was conducted, demonstrating that the proposed method held economic and environmental significance. Moreover, this paper provided valuable guidance for future IES research endeavors.

悠然

Unmanned Combat Aerial Vehicle Air Combat Decision-Making Method Based on Trust Region-Based Proximamulti-agent simulation environment, this paper verifies the effectiveness and practicability of the proposed method in simulating red-blue confrontation. Experimental results show that the TR-PPO-RB method can effectively guide the UCAV to make air combat decisions and improve the air combat rate significantly.

Metastasis

A Decision-Making Method Combining Multi-granularity Rough Set and VIKOR Methodd of particle weight is combined with the VIKOR method, and a decision-making method combining multi-granularity rough set and VIKOR method is proposed. Finally, through case analysis and comparison with other methods, the objectivity and accuracy of the method are verified.

機(jī)密

個(gè)阿姨勾引你

Path Planning of Mobile Robot with Improved RRT Algorithm, long calculation time, and uneven path. This paper proposes an enhanced algorithm that takes map information, starting and ending coordinates as inputs, and outputs an optimized smooth path to address the shortcomings of the original algorithm. This algorithm uses a low-discrepancy Sobol sequence