敌意 发表于 2025-3-26 21:05:04

Modification of Learning Feedforward Neural Networks with the BP Methodethod converges relatively slowly. In this paper a new approach to the backpropagation algorithm is presented. The proposed solution speeds up the BP method by using vector calculations. This modification of the BP algorithm was tested on a few standard examples. The obtained performance of both met

In-Situ 发表于 2025-3-27 03:41:51

http://reply.papertrans.cn/17/1624/162313/162313_32.png

PANG 发表于 2025-3-27 06:19:19

http://reply.papertrans.cn/17/1624/162313/162313_33.png

COST 发表于 2025-3-27 13:03:15

http://reply.papertrans.cn/17/1624/162313/162313_34.png

他日关税重重 发表于 2025-3-27 14:42:56

Canine Behavior Interpretation Framework Using Deep Graph Modelior, it remains an unfamiliar concept to non-expertise. Therefore, in this paper, we introduce a framework for analyzing dog behavior, which defines the interrelationship between dog postures through a graph model without any additional devices but a camera. First of all, our framework classifies th

细节 发表于 2025-3-27 20:40:48

http://reply.papertrans.cn/17/1624/162313/162313_36.png

变形词 发表于 2025-3-28 01:55:23

http://reply.papertrans.cn/17/1624/162313/162313_37.png

essential-fats 发表于 2025-3-28 06:10:58

http://reply.papertrans.cn/17/1624/162313/162313_38.png

insightful 发表于 2025-3-28 07:21:53

Spectroscopy-Based Prediction of In Vitro Dissolution Profile Using Artificial Neural Networksion of the dissolution profile based on spectroscopic data is an alternative to the current destructive and time-consuming method. Raman and near infrared (NIR) spectroscopies are two complementary methods, that provide information on the physical and chemical properties of the tablets and can help

Benzodiazepines 发表于 2025-3-28 11:30:49

Possibilistic Classification Learning Based on Contrastive Loss in Learning Vector Quantizer Network the learning vector quantization (LVQ) realizing a nearest prototype classifier model. Figuring out the problem of classifying based on possibilistic or probabilistic class labels (assignments) leads to the use of likelihood ratio to organize a sustainable approach. To this end, we start with a spe
页: 1 2 3 [4] 5 6 7
查看完整版本: Titlebook: Artificial Intelligence and Soft Computing; 20th International C Leszek Rutkowski,Rafał Scherer,Jacek M. Zurada Conference proceedings 2021