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This is the R script used to create and train the neuronal net for the Python project . Please consider that the lines for the export of the neuron weights are disabled by the comment marker #. ################################## # # COMMON SAMPLE DATA HANDLING # ################################## load_samples = function (filename, attrib) { data = read.csv(filename, sep = "\t" ) # Remove result column data = data[, -5 ] # Calculate all combination with count of measure points n = aggregate(x ~ run + subset, data = data, FUN = length) # Keep only measurement with 80 points n = n[n[, 3 ] == 80 ,] # Create the training data matrix for non-matches dataset = matrix(ncol = 80 , nrow = 0 ) # Fill up the training data matrix with the valid cases (n) of data and transpose it for (i in 1 : dim(n)[ 1 ]) dataset = rbind(dataset, t(data $ x[(data $ run == n[i, 1 ]) & (data $ subset == n[i, 2 ])])) # add class column dataset = cbind(c(attr

It is possible to use Oracle database tables in the R statistical software. And this is a very useful approach (if you know R's capabilities). The fact that you are on this blog now may means that you had no success trying to use tables in R and that you received ORA-12541 once more. To solve this problem, you can omit the next paragraph. However, for getting started with Oracle 12c and R you should take a look at the documentation provided by Oracle. Clear and brief it says that you have to do the following things to use Oracle database in R: Install the Oracle Instant Client if you don't have already from http://www.oracle.com/technetwork/database/features/instant-client/ Install Oracle's R distribution (ORD) from https://oss.oracle.com/OR Modify the PATH variable for the  path of Instant Client Set the environment variable OCI_LIB64 with the path to the Instant Client Install ORE Client Package for R from http://www.oracle.com/technetwork/database/options/advanced-