Neural net markup language. D.V. Rubtsov1, S.V. Butakov2 1 Altai State University, Barnaul, Russia rubtsov@math.dcn-asu.ru 2 Altai State Technical University, Barnaul, Russia swb@agtu.secna.ru Abstract. Within the last decade artificial neural networks became a wide used technique for solving variety pattern recognition problems. One of possible ways to raise effectiveness of neural network application is introducing a unified format for description of neural network models. Used method of decomposition allows to describe some of most widespread types of neuron units: with various sigmoid functions, with threshold, linear and piecewise-linear transfer functions, radial basis functions, Pade-neurons, neurons of high degrees [6] etc.
In the figure 1 main components of an information structure of neural network models description is presented. Each neuron is represented as a node, which consists of two consecutive combining modules. Neural network is defined as a sequence of neuron layers. Figure 1. Figure 2. Figure 3. Python and XML Processing. Blender. PD and Max/MSP stuff. Osc for processing. About oscP5 is a library written by Andreas Schlegel for the programming environment processing.
Last update, 12/19/2011. oscP5 is an OSC implementation for the programming environment processing. OSC is the acronym for Open Sound Control, a network protocol developed at cnmat, UC Berkeley.Open Sound Control is a protocol for communication among computers, sound synthesizers, and other multimedia devices that is optimized for modern networking technology and has been used in many application areas. for further specifications and application implementations please visit the official osc site Installation Unzip and put the extracted oscP5 folder into the libraries folder of your processing sketches. Reference and examples are included in the oscP5 folder. Export to Applet The security regulations for applets are very high and strict, in order to make oscP5 work properly wityhin an applet, you need to make fields and functions which are used by oscP5 public in your code. Details Reference. SNNS- Stuttgart Neural Network Simulator. Radio.