Applied Soft Computing Technologies: The Challenge of by Ajith Abraham

By Ajith Abraham

This quantity provides the complaints of the ninth on-line global convention on smooth Computing in commercial functions, hung on the realm vast internet in 2004. It comprises lectures, unique papers and tutorials offered throughout the convention. The e-book brings jointly remarkable examine and advancements in delicate computing, together with evolutionary computation, fuzzy common sense, neural networks, and their fusion, and its purposes in technology and technology.

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1997), Machine learning techniques for civil engineering problems, Microcomputers in Civil Engineering, 12, 4, 307-322. Reich, Y. and Barai, S. V. (1999), Evaluating machine learning models for engineering problems, Artificial Intelligence in Engineering, 13, 257272. Reich, Y. and Barai, S. V. (2000), A methodology for building neural networks model from empirical engineering data, Engineering Applications of Artificial Intelligence, 13, 685-694. Seiffert, U. (2002), “Artificial Neural Networks on Massively Parallel Computer Hardware”, (University of Magdeburg, Germany).

0 Time taken by hold-out method is minimum, which is obvious, as the network is trained for only 67% of data and tested for only 33% on data. Time taken by K-fold method is higher than other methods because the data set is divided into 10 subsets, so training and testing is done 10 times by each processor. 5%. Which means out of Parallel Neuro Classifier for Weld Defect Classification 47 2493 examples only around 135 examples are misclassified, which is reasonable when comparing to such a large amount of data set.

Step 2: From a file having information about the architecture, following values are read and memory is allocated accordingly. e. if the processor is Master Processor, it distributes the available number of units among other processors, based on the size of Kohonen layer and total number of processors available. It also sends the position of the starting neuron in the two dimensional lattice of the Kohonen layer to each processor, as absolute position of a neuron is required while calculating the lateral distance between winning neuron and excited neuron in the topological neighborhood function.

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