filename ="datasets/pima-indians-diabetes.data"targets = [0,1]# Create the networknn = NeuralNetwork() nn.loadDataset(filename) nn.normalize() nn.createNetwork([2,3], targets) numCorrect =0# Make the predictionsforiinrange(1): nn.feed(nn.testingSet[i]) print("Instance", i +1,":...
Activation function is one of the keys for Artificial Neural Network in learning complex mapping function. A recently proposed activation function called S... K Pratama,DK Kang - 《Applied Intelligence》 被引量: 0发表: 2020年 A kernel-based framework to tensorial data analysis ► Multilinear al...
Data normalization is the process of rescaling one or more attributes to the range of 0 to 1. This means that the largest value for each attribute is 1 and the smallest value is 0. Normalization is a good technique to use when you do not know the distribution of your data or when you...
28 Network analysis We implemented social network analysis (graph theory29) to provide an additional test of our hypothesis that compared with HC subjects, participants with DD have greater FC within the DMN. We did this by extracting the blood oxygenation level–dependent time series data for 12...
The mean ITI was 1.8 s, but jittered between 1.6 and 2 s for optimal statistical efficiency of fast event-related fMRI data analysis (Dale, 1999). In congruent trials (160 trials), the arrow pointing left (right) appears on the left (right) side of the screen. In 12% of trials (...
NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data NanoStringNorm: an extensible R package for the pre-processing of NanoString mRNA and miRNA data . Bioinformatics . 2012; 28 : 1546–8. doi: 10.1093......
Source File: data_helper.py From LanczosNetwork with MIT License 6 votes def normalize_adj(A, is_sym=True, exponent=0.5): """ Normalize adjacency matrix is_sym=True: D^{-1/2} A D^{-1/2} is_sym=False: D^{-1} A """ rowsum = np.array(A.sum(1)) if is_sym: r_inv = ...
Normative and reliability data for the children's depression inventory Journal of Abnormal Child Psychology, 14 (1986), pp. 25-39 3950219 View in ScopusGoogle Scholar Sridharan, Levitin, and Menon 2008 Sridharan D., Levitin D.J., Menon V. A critical role for the right fronto-insular cortex...
Resting-State fMRI Data Analysis Toolkit (REST) (Song et al, 2011) was then used for the following steps. The linear trend of the fMRI data was removed, and band-pass filtering (0.01–0.08 Hz) was conducted to decrease the impact of high-frequency physiological noise and the very low-...
data : [u'/home/ankita/preprocess/spm_auditory_tutorial/workingdir/level1/firstlevel/preproc/_subject_id_M00223/segment/sM00223_002.img'] gaussians_per_class : gm_output_type : ignore_exception : False mask_image : matlab_cmd :