Titlebook: Integral Transform Techniques for Green‘s Function; Kazumi Watanabe Book 20141st edition Springer International Publishing Switzerland 201

低能儿

Springer International Publishing Switzerland 2014

食品室

Integral Transform Techniques for Green‘s Function978-3-319-00879-0Series ISSN 1613-7736 Series E-ISSN 1860-0816

不再流行

COLIC

Kazumi Watanabegnostics and by studying examples of model diagnostic systems using AI methods based on neural networks, fuzzy inference systems and genetic algorithms. .978-3-030-67057-3978-3-030-67055-9Series ISSN 2198-4182 Series E-ISSN 2198-4190

裂隙

Kazumi Watanabegnostics and by studying examples of model diagnostic systems using AI methods based on neural networks, fuzzy inference systems and genetic algorithms. .978-3-030-67057-3978-3-030-67055-9Series ISSN 2198-4182 Series E-ISSN 2198-4190

导师

crescendo

CAB

Kazumi Watanabeo predict hybrid performance and SCA in intergroup-crosses of maize (Vuylsteke et al. 2000). For a long time molecular marker-based genetic distances has not proven to be a reliable approach for the prediction of hybrid characteristics in crops (Melchinger 1999) and might have limitations for predic

词汇

Kazumi Watanabesisted selection. However, recently, metabolomics has emerged as a highly promising approach for prediction of a variety of agronomically important phenotypes of crop plants grown in different environments, and particularly for discovering signature metabolites or biomarkers for traits of interest (

支柱

Kazumi Watanabeo predict hybrid performance and SCA in intergroup-crosses of maize (Vuylsteke et al. 2000). For a long time molecular marker-based genetic distances has not proven to be a reliable approach for the prediction of hybrid characteristics in crops (Melchinger 1999) and might have limitations for predic