Neural Network Structure Prediction
Artificial Neural Network aided Protein Structure Prediction
... Protein structure prediction plays a vital role in drug design and ...Artificial Neural Network (ANN) and Support Vector Machine ...tertiary structure of ...secondary structure ...
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Prediction of Petroleum Price Using Back Propagation Artificial Neural Network Based on Chaotic Self-Adaptive Particle Swarm Algorithm
... In the entire system of the international petroleum industry, the change of petroleum price is affected by many complex factors, with an uncertain tendency and regularity. How to efficiently and accurately predict the ...
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Protein Secondary Structure Prediction using Pattern Recognition Neural Network
... secondary structure prediction means the prediction of the formation of regular local structures such as α helices, β strands, coils, ...silico prediction methods will narrow the gap between ...
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A Protein Secondary Structure Prediction Method Based on BP Neural Network
... Protein structure prediction plays an important role in understanding the connection between protein structure and protein ...Protein structure prediction, which means predicting the ...
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Neural Network Prediction of Censorable Language
... nouns, function words, social processes, cogni- tive processes, drives, informal language use etc. LIWC builds on previous research establishing strong links between linguistic patterns and per- sonality/psychological ...
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A Neural Network for Coordination Boundary Prediction
... boundary prediction, and suggest a specialized model for this ...a neural network with two LSTM-based components, each modeling a dif- ferent linguistic principle: (1) conjuncts tend to be similar ...
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Air quality prediction using artificial neural network
... with neural network structure 7-20-4 produces the best performance in the prediction of air quality compared to the first model based on the values of R and the prediction ...
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ANN Methods for COP Prediction of Supermarket Refrigeration System
... RBF Network Model. RBF (Radial Basis Function) neural network and BP neural network are basically the same in ...RBF network transfer function of hidden layer is a radial basis ...
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Aproaches to Prediction of Protein Structure: A Review
... structure prediction largely depend upon the information out there in amino acid ...function prediction with micro array expression profile, ...protein structure prediction that relies ...
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In Silico Drug Designing Of Tripeptide-S Against Blm Protein For Treatment Of Bloom Syndrome
... secondary structure prediction method. SOPMA (self-optimized prediction method with alignment) is an improvement of SOPMA ...secondary structure (alpha- helix, beta sheet and coil) in a whole ...
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Neural Network Design - Free Computer, Programming, Mathematics, Technical Books, Lecture Notes and Tutorials
... of neural networks in literature re- search by Aston ...“the network can be taught to recognize individual writing styles, and the researchers used it to compare works attributed to Shakespeare and his ...
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BAT ALGORITHM FOR ROUGH SET ATTRIBUTE REDUCTION
... error of GM(1,1) is about 8 times of GNNM, posterior ratio and small error probability of GNNM are better than of GM(1,1), and GNNM gets quite satisfactory forecasting result. Where, posterior ratio of GNNM decreases ...
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Economic classification and regression problems and neural networks
... of neural networks (see for example haykin 1999). The network consists of a set of sensory units (receptors) that constitute the input layer, one or more hidden layers of the computation nodes and an output ...
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Shape Optimization of Pedestals Using Artificial Neural Network
... A pedestal of height 3000mm and and width of top and bottom surface 300mm and 500mm is shown in Fig.6. Let P be the concentrated load at the top surface of the pedestal. Thickness of the pedestal is 150mm. Let X and Y be ...
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A GENETIC ALGORITHM OPTIMIZED MULTI-LAYER PERCEPTRON FOR SOFTWARE DEFECT PREDICTION
... Various endeavours have been made to prevent the gradient descent algorithm from becoming trapped in local minima as the training of the network advances. Genetic Algorithms (GAs) normally evade local minima via ...
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Oil Price Forecasting Based on EMD and BP AdaBoost Neural Network
... The neural network method based on wavelet transform has been extensively used in financial time-series analysis, but wavelet analysis still has some defects, which cannot be adaptively decomposed, because ...
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Prediction of Rice Diseases Using Convolutional Neural Network (in Rstudio)
... [1]. Dan, C., Meier, U., Masci, J., Gambardella, L.M., Schmidhuber, J. 2011. Flexible, high performance convolutional neural networks for image classification. Proceedings of the 22nd International Joint Conference ...
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PREDICTION OF RAINFALL MAGNITUDE IN ENUGU USING THE ARTIFICIAL NEURAL NETWORK
... Artificial network modeling is purely a computational technique. If one wants to explain the underlying process or mathematical framework that produces the relationships between the dependent and independent ...
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Prediction of prostate cancer by deep learning with multilayer artificial neural network
... A neural network simulates the pattern recognition capabilities of a biological ...artificial neural network (ANN) as an application to the urologic ...
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Neural Network Based Rainfall Prediction
... forward neural network popularly called as multilayer perceptrons consists of multiple layers of computational units, usually interconnected in a feed-forward ...of neural network we take 25 ...
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