Demonstration of Artificial Neural Network in Matlab Robyn Ball and Philippe Tissot Division of Nearhsore Research, Texas A&M University – Corpus Christi Brief Introduction (Taken from Matlab R2006b Help, MathWorks, 2006) Neural networks are composed of simple elements operating in parallel. These elements are inspired by biological nervous systems. As in nature, the network function is determined largely by the connections between elements. You can train a neural network to perform a particular function by adjusting …

Neural networks have been trained to perform complex functions in various fields, including pattern recognition, identification, classification, speech, vision, and control systems. Today neural networks can be trained to solve problems that are difficult for conventional computers or human beings. Throughout the toolbox emphasis is placed on neural network paradigms that build up to or are themselves used in engineering, financial, and other practical applications. For more information on Neural Networks, go to the Help menu in Matlab, scroll down the Contents menu and click on Neural Network Toolbox. Neural Net Graphical User Interface (GUI) in Matlab For demonstration purposes we have ready-to-use data consisting of 3 years of salinity, air temperature, water level, and water temperature measurements at several stations. If you haven’t already downloaded the Matlab data, please see that section…. You can adjust the training parameters as well as weights. For example, by clicking on Training Parameters tab, you can adjust the number of epochs and show. The default is show = 25. Try setting this value to 1. Click Train Network Note: To re-train on the same data and network, you need to reinitialize weights. Go to the Reinitialize Weights tab and click on Initialize Weights. 5. Exporting Errors/Output to Matlab Workspace To export, return to the Network/Data Manager window and click on Export. Select the variables you wish to export and click Export. This is an easy way to plot and analyze the results. 6. Experiment Try experimenting with different data sets and network architectures and see what results. Suppose you want to include air temperature at the Aquarium and water temperature at Salt03 as inputs. To include more than one time series as an input, in the Matlab Command window, enter >> Input(1,:) = AquariumATP1994; >> Input(2,:) = Salt03WTP1994; Input can now be used in the creation of a neural network.

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