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BP Neural Network can forecast short-term electricity price, while it is necessary to explore technique to tune the back propagation learning algorithm either for better generalization, or for faster training. The paper proposed enhanced BP Neural Network to forecast electricity price, in which we replaced back propagation algorithm of BP Network with genetic simulated annealing algorithm (GSAA)....
The study on molecular structure of Fusarium proliferatum clinically isolated can provide the basis for accurate diagnosis and treatment of F. proliferatum infection. The rDNA ITS gene of 6 strains that had been identified as Fusarium proliferatum based on morphological were cloned and sequenced. The molecule phylogenetic tree was constructed based on rDNA ITS sequences, and the 6 genus were divided...
Leaf blight is a common Camellia oleifera disease caused by Pestalotiopsis microspora. The damaged young leaves show blight symptom, resulting in yield reduction. This study was to isolate antagonistic bacteria from Camellia oleifera tissue for control of the leaf blight. Antagonistic bacteria was screened from 175 endophytic bacterias by confront culture method. The results of the study showed that...
Leaf blight of Camelliaoleifera was one of the major diseases in Hunan's Camellia producing areas. The fungal pathogen infected leaves of the host plants and caused leaves drop, resulting in earlier defoliation and new treetops death. Filamentous fungal strain (No. CSUFT070160A) was isolated from the leaves of Camelliaoleifera with the leaf blight disease. We observed morphological characteristics...
The article introduces the authors'research of an optimum method on the cultivation conditions of a flocculant- producing Strain. Using single factor experiments and orthogonal test, the influence of temperature, PH value and rotational speed on synthesis of microbial flocculants, and optimized culture conditions were studied; 16S gene of the strain was amplified and sequenced.The sequencing was BLAST...
This paper presents novel techniques in analyzing such key regulatory modules following from physics and system control theories. We initially define distinct contribution elasticity functions for pathway components, facilitating the decomposition of expanded core motifs and the formation of feedback loops within the control schema. Motivated by the inherent regulatory actualities, we expound a kind...
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