文献
J-GLOBAL ID:202202242072148213
整理番号:22A1037509
GGA-MLP:多層パーセプトロンにおける重みとバイアスを最適化するための欲張り遺伝的アルゴリズム【JST・京大機械翻訳】
GGA-MLP: A Greedy Genetic Algorithm to Optimize Weights and Biases in Multilayer Perceptron
著者 (8件):
Bansal Priti
(Department of Information Technology, Netaji Subhas University of Technology, Dwarka, New Delhi, India)
,
Lamba Rishabh
(Department of Information Technology, Netaji Subhas University of Technology, Dwarka, New Delhi, India)
,
Jain Vaibhav
(Department of Information Technology, Netaji Subhas University of Technology, Dwarka, New Delhi, India)
,
Jain Tanmay
(Department of Information Technology, Netaji Subhas University of Technology, Dwarka, New Delhi, India)
,
Shokeen Sanchit
(Department of Information Technology, Netaji Subhas University of Technology, Dwarka, New Delhi, India)
,
Kumar Sumit
(Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, Noida, India)
,
Singh Pradeep Kumar
(Department of Computer Science, KIET Group of Institutions, Delhi-NCR, Ghaziabad, India)
,
Khan Baseem
(Hawassa University, Hawassa, Ethiopia)
資料名:
Contrast Media & Molecular Imaging
(Contrast Media & Molecular Imaging)
巻:
2022
ページ:
Null
発行年:
2022年
JST資料番号:
W2544A
ISSN:
1555-4309
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
イギリス (GBR)
言語:
英語 (EN)