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Groundwater table often shows complex nonlinear characteristic. Back Propagation (BP) neural network is increasingly used to predict groundwater table. But man-made selecting the structure of BP neural network has blindness and expends much time. In order to overcome shortcomings of traditional BP neural network, Particle Swarm Optimization (PSO) algorithm was adopted to automatically search BP neural...
The need to secure sensitive data and computer systems from intruders, while allowing ease of access for authenticate user is one of the main problems in computer security. Traditionally, passwords have been the usual method for controlling access to computer systems but this approach has many inherent flaws. Keystroke dynamics is a promising biometric technique to recognize an individual based on...
In this paper, we optimize the boosted results of AdaBoost algorithm by particle swarm optimization (PSO) and form a learning algorithm PSO-AB. We use it to boost the classification ability of support vector machine (SVM) and back propagation neural network (BPNN). This PSO-AB adopts SVM and BPNN to classify the experimental data, uses AdaBoost algorithm to boost the classification results, and then...
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