在狗疾病预诊断系统中开发一个强大的模糊推理算法,用于休业主
Kwang Baek Kim1, Doo Heon Song2, Hyun Jun Park3
1Department of Artificial Intelligence, Silla University, Busan 46958, Republic of Korea.
Animals : an open access journal from MDPI
|January 8, 2025
概括
这项研究引入了一种新的神经模糊学习系统,用于物狗的预诊断. 多层神经模糊学习者 (MNFL) 系统从业主报告的症状准确地识别出潜在的疾病,增强早期检测和物护理.
科学领域:
- 兽医医学 兽医医学 兽医医学
- 人工智能的人工智能
- 机器学习 机器学习
背景情况:
- 韩国日益增长的物市场为管理物健康的业主带来了挑战.
- 非专家的物主人经常难以及时诊断物健康问题.
研究的目的:
- 开发一种使用神经模糊学习的物狗的预诊断系统.
- 为了使非专家用户能够通过输入观察到的症状来监测物健康.
- 提供可能的疾病预测和应对策略.
主要方法:
- 创建了一个疾病症状数据库,并提供了兽医指导.
- 对三个模糊推理算法的评估:PFCM-R,FHAL和拟议的MNFL.
- 开发多层神经模糊学习器 (MNFL) 以提高强度.
主要成果:
- PFCM-R显示了高准确度与清洁的数据,但噪声耐受性较差.
- FHAL提供了更好的噪声耐受性,但精度较低.
- 即使在杂的输入中,MNFL也实现了98%的准确性,证明了卓越的稳定性.
结论:
- 该MNFL系统有效地帮助早期发现物健康问题.
- 这使得物所有者能够获得更好的护理和知情的兽医咨询.
- 该系统通过改善健康监测,提高了伴侣动物的整体福祉.
相关概念视频
01:18Steps in Outbreak Investigation
105
In the ever-evolving field of public health, statistical analysis serves as a cornerstone for understanding and managing disease outbreaks. By leveraging various statistical tools, health professionals can predict potential outbreaks, analyze ongoing situations, and devise effective responses to mitigate impact. For that to happen, there are a few possible stages of the analysis:
105
01:43Incomplete Dominance
21.3K
Gregor Mendel's work (1822 - 1884) was primarily focused on pea plants. Through his initial experiments, he determined that every gene in a diploid cell has two variants called alleles inherited from each parent. He suggested that amongst these two alleles, one allele is dominant in character and the other recessive. The combination of alleles determines the phenotype of a gene in an organism.
21.3K