.png){kind=icon}
返回
Learning Functions and Classes Using Rules
.png){kind=icon}
OA
AI
DOI：10.3390/ai3030044.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
In the current work, a novel method is presented for generating rules for data classification as well as for regression problems. The proposed method generates simple rules in a high-level programming language with the help of grammatical evolution. The method does not depend on any prior knowledge of the dataset; the memory it requires for its execution is constant regardless of the objective problem, and it can be used to detect any hidden dependencies between the features of the input problem as well. The proposed method was tested on a extensive range of problems from the relevant literature, and comparative results against other machine learning techniques are presented in this manuscript.
Keyword:
grammatical evolution
genetic algorithms
neural networks
期刊
A
IF:
5
论文数:
1.0K
被引数:
941
机构
引用论文
Choline acetyltransferase. Reversible inhibition by bromoacetyl coenzyme A and bromoacetylcholine.png)
Biochemistry
BiochemistryIF0
PREAI
分享收藏Real-time and offline techniques for identifying obstructive sleep apnea patients用于识别阻塞性睡眠呼吸暂停患者的实时和离线技术
PREAI
分享收藏Designing a neural network for forecasting financial and economic time seriesNEUROCOMPUTING
NEUROCOMPUTINGIF6.5
PREAI
分享收藏Time dependent neural network models for detecting changes of state in complex processes:: Applications in earth sciences and astronomyNEURAL NETWORKS
NEURAL NETWORKSIF6.3
PREAI
分享收藏分享收藏Stability of Iodine in Iodized Salt Used for Correction of Iodine-Deficiency Disorders. II用于纠正碘缺乏病的碘盐中碘的稳定性。二
PREAI
分享收藏Leprosy on Anjouan (Comoros): persistent hyper-endemicity despite decades of solid control effortsOAAI
OAAI分享收藏分享收藏
查看更多内容