.png){kind=icon}
返回
Modifying genetic programming for artificial neural network development for data mining
.png){kind=icon}
PRE
AI
DOI：10.1007/s00500-008-0317-9.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
The development of artificial neural networks (ANNs) is usually a slow process in which the human expert has to test several architectures until he finds the one that achieves best results to solve a certain problem. However, there are some tools that provide the ability of automatically developing ANNs, many of them using evolutionary computation (EC) tools. One of the main problems of these techniques is that ANNs have a very complex structure, which makes them very difficult to be represented and developed by these tools. This work presents a new technique that modifies genetic programming (GP) so as to correctly and efficiently work with graph structures in order to develop ANNs. This technique also allows the obtaining of simplified networks that solve the problem with a small group of neurons. In order to measure the performance of the system and to compare the results with other ANN development methods by means of evolutionary computation (EC) techniques, several tests were performed with problems based on some of the most used test databases in the Data Mining domain. These comparisons show that the system achieves good results that are not only comparable to those of the already existing techniques but, in most cases, improve them.
Keyword:
Artificial neural networks
Evolutionary computation
Genetic programming
Data mining
Soft computing
期刊
IF:
2.5
论文数:
1.0W
被引数:
2.1W
机构
引用论文
.png){kind=icon}
分享收藏Tocilizumab Attenuates Anti-neutrophil Cytoplasmic Antibody-associated Nephritis Occurring during Abatacept and Adalimumab Therapy for Rheumatoid Arthritis托珠单抗减轻在阿巴西特和adalimumab治疗类风湿关节炎期间发生的抗中性粒细胞胞浆抗体相关性肾炎
OAAI
OAAI分享收藏Relationship between patients’ characteristics and efficacy of calcimimetics for primary hyperparathyroidism in the elderly老年原发性甲状旁腺功能亢进症患者特征与钙敏受体激动剂疗效的关系
OAAI
OAAI分享收藏
查看更多内容