15834568
An Artificial Neural Network Based on CIEA
Chaotic Immune evolutionary algorithm (CIEA) is proposed on the shortage of current algorithms training artificial neural network, biological immune mechanism and the characteristics of evolution. A novel artificial neural network based on chaotic immune evolutionary algorithm (CIEANN) is presented in this paper. The algorithm has the merits of chaos, immunity and evolutionary algorithm. It can ensure the ability of global search and local search and enhance the performances of the algorithm. At last, we analyzed the performance of CIEANN with a typical XOR problem and compared it with several common ANNs. The analysis results show that CIEANN converges quickly and avoids immature convergence and is an effective way to solve optimization problem.
17522730
Design and Implementation of a Power System Sensor Network for Wide-Area Measurement
This paper presents the design and implementation of a power system sensor network (PSSN) for wide-area measurement. With the powerful data processing capability of sensor network, it is possible to build a real-time data network, that is more pervasive, more robust, more flexible, and more powerful in data processing, to overcome the shortcomings of current WAMS (wide-area measurement system). The whole system is globally synchronized by GPS and IEEE 1588 protocol. The sensor node is compatible with IEEE1451 protocol and the data format is compatible with IEEE C37.118.
38431053
An Optimization Method Based on Chaotic Immune Evolutionary Algorithm
Immune Evolutionary Algorithm (IEA) is proposed on the shortages of evolution algorithm and biological immune mechanism. According to the characteristics of chaos, a novel Chaotic Immune Evolutionary Algorithm (CIEA) is presented which introduces chaos to IEA. The algorithm has the merits of chaos, immunity and evolutionary algorithm. It can ensure the ability of global search and local search and enhance the performances of the algorithm. At last, we analyze the efficiency of the algorithm with two typical optimization problems. The analysis result shows that CIEA converges quickly and effectively avoids the inherent problem that the evolution algorithm traps in immature convergence, so CIEA is an effective way to solve complex optimization problem.
20054988
Elastic Algorithm: A New Path Planning Algorithm About Auto-navigation in 3D Virtual Scene
Elastic Algorithm proposed in this paper is a new and fast path planning algorithm to solve the problem of auto-navigation in 3D virtual scene. First, with a grid model based representation of virtual environments, different obstacles are assigned different color in the projection map of scene and their encasing boxes are stored to provide local path. Then, Elastic Algorithm is designed to optimize the basic path. It can be applied to complex condition and moving object, and has high stability and efficiency in solving the path planning problem.
16631254
Using data mining techniques and rough set theory for language modeling
In this article, we propose a new postprocessing strategy, word suggestion, based on a multiple word trigger-pair language model for Chinese character recognizers. With the word suggestion strategy, Chinese character recognizers may even achieve a recognition rate greater than the top-n candidate recognition rate. To construct the multiple word trigger-pair model, data mining techniques are used to alleviate the intensive computation problem. Furthermore, rough set theory is first used in the study to discover negatively correlated relationships between words in order to prevent introducing wrong words in the process of word suggestion.
135957559
Accelerated Publication: A resist for electric imprint lithography
An electrically curable resist has been developed that can make electric imprint lithography (EIL) a reality. The resist is composed of a diaryliodonium salt photo acid generator and a cycloaliphatic epoxy monomer. Its polymerization takes place when an electric potential is applied between a conductive imprint mold and a substrate which sandwich the resist. A proof-of-concept pattern transfer by EIL with a micron-scale resolution has been demonstrated.
9624275
Exact analytical solutions to the nonlinear Schrödinger equation model
A method is developed for constructing a series of exact analytical solutions of the nonlinear Schrödinger equation model (NLSE) with varying dispersion, nonlinearity, and gain or absorption. With the help of symbolic computation, a broad class of analytical solutions of NLSE are obtained. From our results, many previous known results of NLSE obtained by some authors can be recovered by means of some suitable selections of the arbitrary functions and arbitrary constants. Further, the formation, interaction and stability of solitons have been investigated.