[PDF] Top 20 Artificial neural network analysis of genetic diversity in

... RESUMO - O estudo da diversidade genética é de fundamental importância na seleção preliminar de acessos com características superiores e a utilização desses materiais com sucesso em programas de melhoramento genético. O ... See full document

... on artificial neural ...parameters of engine vibration signals obtained from time series analysis are used to build a suitable artificial neural network by means of ... See full document

... on genetic diversity and population structure provide basic information at the molecular level, which is a key input for breeding programs of crop ...the genetic diversity of 12 ... See full document

... important in the creep-feed grinding (Malkin, 1989). Some analysis of heat transference indicate that the use of a faster work speed, keeping the same removal rate would lower the temperature ... See full document

... use Artificial Neural Network for the pattern ...classification. Artificial Neural Network will be trained with the patterns to find the weight collection for the classification ... See full document

... optimization of EC values of nutrient solution on hydroponics system was developed using Artificial Neural Network (ANN) and Genetic Algorithms ...consisted of three ... See full document

... ranges in WorldView-2 sensor sections. For training purposes a total of 6400 representative sam- ples/pixels are used and for evaluation a total of 1846 pixels test samples are ...further ... See full document

... examined, in this study, the artificial intelligence techniques ability in deriving parameters of the Nuclear Magnetic Resonance log, starting from conventional ...and Artificial ... See full document

... rarely of direct ...source. In most domains, data analysis was traditionally a manual ...help of statistical techniques, provide summaries and generate reports. In effect, the analyst ... See full document

... modulation of the mucosal immune system, production of antimicrobial agents, enhancement of digestion and absorption of food and alteration of the intestinal microflora (Hemaiswarya et ... See full document

... one of the most difficult tasks of time series ...reported in this paper aims to investigate the potential of artificial neural networks (ANN) in solving the forecast task ... See full document

... use of unsupervised artificial neural network techniques like the self-organizing map (SOM) algorithm has proven to be a useful tool in exploratory data analysis and clustering ... See full document

... solutions. Artificial Neural Network (ANN) is a model of biological neuron ...Propagation Network (MLBPN). In BPN the weights of input-hidden layers and hidden-output ... See full document

... structure, artificial neural networks can capture more complex characteristics, controlled for several genes, of the data, which is not always possible with traditional statistical techniques, like ... See full document

... function of weather variables and human social activities, industrial activities as well as community developmental level to mention a few ...activities of an electric utility requires the prediction ... See full document

... role of apoptosis by NDV-induced cell death in cancer ...synthesis of its protein, and activation of ...activity in tumors by different mechanisms includ- ing multinucleated formation ... See full document

... morphology of the ECG waveform with success in correctly detecting fatal arrhythmias through waveform correlation analysis of intracardiac ...block-based neural network (BBNN) ... See full document

... illustrated in following ...outcome of sensing phase by utilizing knowledge database (Prado et ...predicted in this way. The SENSEX index of current stock market has the rise and fall ... See full document

... concept of desirability scale arises when there is a need to combine the magnitude of several characteristics to a dimensionless scale (say, ...value of a product or service is mapped between zero ... See full document

... an artificial neural network type self-organizing, in order to locate and delimit the lesion contour as accurately as ...object of interest and junction of internal ... See full document