neural-network-toolbox

Neural Network Toolbox 7.0 Design and simulate neural networks Neural Network Toolbox provides tools for designing, implementing, visualizing, and simulating neural networks. Neural networks are used for applications where formal analysis would be difficult or impossible, such as pattern recognition and nonlinear system identification and control. The toolbox supports feedforward networks, radial basis networks, dynamic networks, self-organizing maps, and other proven network paradigms. Key Features Neural network design, training, and simulation Pattern recognition, clustering, and data-fitting tools Supervised networks including feedforward, radial basis, LVQ, time delay, nonlinear autoregressive (NARX), and layer-recurrent Unsupervised networks including self-organizing maps and competitive layers Preprocessing and postprocessing for improving the efficiency of network training and assessing network performance Modular network representation for managing and visualizing networks of arbitrary size Routines for improving generalization to prevent overfitting Simulink® blocks for building and evaluating neural networks, and advanced blocks for control systems applications Working with Neural Network Toolbox Like its counterpart in the biological nervous system, a neural network can learn and therefore can be trained to find solutions, recognize patterns, classify data, and forecast future events. The behavior of a neural network is defined by the way its individual computing elements are connected and by the strength of those connections, or weights. The weights are automatically adjusted by training the network according to a specified learning rule until it performs the desired task correctly. Neural Network Toolbox includes command-line functions and graphical tools for creating, training, and simulating neural networks. Graphical tools make it easy to develop neural networks for tasks such as data fitting (including time-series data), pattern recognition, and clustering. After creating your networks in these tools, you can automatically generate MATLAB® code to capture your work and automate tasks.