Partial least squares regression excel
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It is called feed-forward ANN as information passes one way through the network from the input layer, through the hidden layer and finally to the output layer. the type of ANN used in this manuscript is feed-forward network trained with the back propagation of errors learning algorithm). The neural networks where information flows from the input to the output layer are frequently termed ‘feed-forward’ ANNs (i.e. ANNs are composed of some units (input, hidden and output) and connection weights between the units. In this manuscript ANN has been applied to establish a correlation between relationship between inputs and outputs. Artificial Neural Network (ANN) applied in the field of regression or classification. In the computer the neurons are represented as weight vectors. the way the input data are treated by the artificial (computer simulated) neuron is similar in action to a biological neuron exposed to incoming signals from neighboring neurons. It simulates some properties of human brain i.e. Keywords: Cefoperazone PLS-1 GA-PLS-1 ANN GA-ANN PCA-ANNĪNN is a kind of information processing chemometrical technique. Thirteen mixtures were used as a training set and the other twelve were used as a validation set. A 2-factor 5-level experimental design was built leading to 25 mixtures containing different ratios of cefoperazone sodium and its alkaline degradation product. The methods were used for the determination of cefoperazone sodium in bulk powder and pharmaceutical preparation. The chemometric methods used are PLS-1, GA-PLS-1, ANN, GA-ANN and PCA-ANN. Artificial Neural Network (ANN) was used with and without variable selection procedure (Genetic Algorithm GA) and data compression procedure (principal component analysis PCA). Partial Least Squares method was used with and without variable selection (Genetic Algorithm GA). The methods are either traditional (Partial Least Squares) or advanced (Artificial Neural Network). Several chemometric models were used for the determination of cefoperazone sodium in presence of its alkaline degradation product.