The ability to scientifically forecast the price of aquatic products plays an important role in the healthy and sustainable development of aquaculture. This paper presents a method for forecasting aquatic product prices using Case-Based Reasoning. Some key processes include automatic extraction of web...

Density based clustering is sound for its great ability of finding arbitrary shapes of clusters and identifying the number of clusters automatically. DBSCAN is a frequently used density based clustering algorithm. In DBSCAN a density threshold, which is hard to be chosen adaptively, should be specified...

To solve the problems in traditional automatic Chinese summarization, a new method based on the word concept and clustering is presented in this paper. Different from the normal statistical method, concept is used as feature instead of word. Also, instead of word frequency statistics, word concept frequency...

Map matching is a technique combining electronic map with locating information to obtain the real position of vehicles in a road network.This paper provides an overview on the map matching technique and its applications,and discusses some typical algorithms with experiments analysis.

In illustration to high computational complexity of the genetic algorithm-based FCM clustering algorithm, combining with traditional genetic algorithms and FCM algorithm, an improved GFCA algorithm with serial number coding is proposed in this paper. The simulations of two standard data sets for the...

This paper proposes a method for extracting features of target object automatically in a pose-measuring system. A tag stuck to the target object is designed to make the system more robust and precise. First, detect all the corners of an image. Then, geometric invariants, which are formed by several invariants...

The Computer Generated Force (CGF) has decision ability by self-learning mechanism, which is an important research field in applying machine learning technology to military simulation. On the basis of modeling architecture of Agent and Learning Classifier Systems (LCSs) technologies, a learning behavioral...

The various-density problem has become one of the focuses in density based clustering research. A novel dispersive degree based algorithm combined with classification, called CDDC, is presented in this paper to remove the hurdle. In CDDC, a sequence is established for depicting the data distribution,...

This paper uses GAssist system to get symbolic rules and proposes four techniques to improve it. A new population initialization method is applied and fitness scaling is used to promote the population’s convergence. It also improves on the deserted hierarchical selection operator and combines it with...

In this paper, we propose a hybrid approach, which is a statistical machine translation (SMT), while using an example-based decoder. In this way, it will solve efficiently the re-ordering problem in SMT and the problems for spoken language MT, such as lots of omissions, idioms etc. We present a novel...

This paper proposes a global learning of neural networks by hybrid optimization algorithm. The hybrid algorithm combines a stochastic approximation with a gradient descent. The stochastic approximation is first applied for estimating an approximation point inclined toward a global escaping from a local...