Hybrid Neuro-Fuzzy Classification Algorithm for Social Network

People tend to build and maintain their friendship relying on SNS nowadays. Thus, the problem of how to organize the social network accurately and automatically. In this paper, a hybrid neuro-fuzzy approach is used. . Many aspect impact the error values like input/output, membership functions, the training data arrays, and the number of epochs needed to train the model. This paper is based on hybrid Neuro-Fuzzy concept for testing the link prediction for facebook data. We use Matlab to calculate average testing Error, View Generation Rule, Output Surface.

Planning Method of the Virtual Disassembly Operation Process Based on Time Petri Net

According to problems of deficiency guidance in the traditional virtual disassembly training, the planning method of disassembly operation process based on Petri-net is presented. By this method, Disassembly Petri-Net (DPN) model process-oriented is built. In this model, constraint relations for the process and generation rule for DPN are studied. At last, by taking the transmission of bulldozer as example, planning method and its solution aimed at timeliness are proposed. The example shows that the planning results can improve training effect significantly, which provides a practical and efficient training platform for trainees.

Wolf Pack Algorithm for Unconstrained Global Optimization

The wolf pack unites and cooperates closely to hunt for the prey in the Tibetan Plateau, which shows wonderful skills and amazing strategies. Inspired by their prey hunting behaviors and distribution mode, we abstracted three intelligent behaviors, scouting, calling, and besieging, and two intelligent rules, winner-take-all generation rule of lead wolf and stronger-survive renewing rule of wolf pack. Then we proposed a new heuristic swarm intelligent method, named wolf pack algorithm (WPA). Experiments are conducted on a suit of benchmark functions with different characteristics, unimodal/multimodal, separable/nonseparable, and the impact of several distance measurements and parameters on WPA is discussed. What is more, the compared simulation experiments with other five typical intelligent algorithms, genetic algorithm, particle swarm optimization algorithm, artificial fish swarm algorithm, artificial bee colony algorithm, and firefly algorithm, show that WPA has better convergence and robustness, especially for high-dimensional functions.

CONSTRUCTING SCALE-FREE NETWORKS WITH A GIVEN CLUSTER COEFFICIENT

We introduce a new generation rule for local thresholding in scale-free networks based on the nodes' degree. The resulting networks are disassortative with a hierarchical structure. There is, however, a subnet of the nodes, which we call the active nodes, which is neither disassortative nor has such a structure. It is shown that networks with a wide range of cluster coefficients, ranging from very small to close to unity and with scaling exponent from 2.5 to 4 are generated by the new method, which mimic some important real-world networks.

Analysis and Suppression Strategy of Harmonics for SPWM Inverter

The three-phase voltage type SPWM inverter output voltage and current harmonic and its generation rule is discussed. And put forward a new easy to implement harmonic suppression strategy, the method through the correct choice of the carrier frequency and the sinusoidal wave superimposed on a three wave makes saddle shaped wave, to produce a corresponding SPWM waveform control inverter switch on-off thus improving the output waveform. Mathematical analysis shows that is helpful to reduce the output voltage THD ( waveform distortion factor ), improved harmonic current loss and torque characteristics, the simulation results prove the validity of these measures and practical.

Stability Experimental Study on High Temperature and Oxygen-Containing Flue Gas

During lignite pyrolysis process, there will produce large amounts of gas which is low calorific value, combustion difficult. This paper creatively put forward a program: high temperature and oxygen-containing flue gas of coal-fired mix combustion with low calorific value gas. Compared to mixing high calorific value fuel, the distinguishing feature of this program is ultra-low cost, and technically feasible. In this scheme, the stability of high-temperature and oxygen-containing flue gas is key technology. Through coal-fired experiments, we obtained generation rule of high-temperature and oxygen-containing flue gas, and summed up a diminishing marginal effect.