The 7-year overall survival rates were 69 ± 4%, 68 ± 3%, and 57 ± 2% for the CABG, stent, and PTCA patients ( p = 0.001), respectively. Using data from the National Health Research Institute database, we determined the outcomes of 1,287 dialysis patients who underwent initial coronary revascularization between 1997 and 2008. We examined the outcomes of Taiwanese dialysis patients after coronary artery bypass grafting (CABG), percutaneous transluminal coronary angioplasty (PTCA), or coronary stenting. The outcomes of Chinese patients undergoing dialysis after coronary revascularization are unknown.

The results show that the new algorithm generates very compact neural architectures with state-of-the-art generalization capabilities. The problem of overfitting is also analyzed, and a new built-in method to avoid its effects is devised and successfully applied within an active learning paradigm that filter noisy examples. Both sets were used to analyze the size of the constructed architectures and the generalization ability obtained and to compare the results with those from other standard and well known classification algorithms. The new algorithm is tested on two different sets of benchmark problems: a Boolean function set used in logic circuit design and a well studied set of real world problems. Competition makes it possible that even after new units have been added to the network, existing neurons still can learn if the incoming information is similar to their stored knowledge, and this constitutes a major difference with existing constructing algorithms. The neuron learning is governed by the thermal perceptron rule that ensures stability of the acquired knowledge while the architecture grows and while the neurons compete for new incoming information.

C-Mantec is a novel neural network constructive algorithm that combines competition between neurons with a stable modified perceptron learning rule.

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