Chinese mining intelligent Learning has become the trend of semantic analysis of big data

Self-learning refers to the automatic extraction of new language knowledge through machine learning to adapt to the changes of the new network language and to change from one to the other.

Intelligent Learning, some people call it "soft computing", is inspired by the Law of Nature (biology), according to its principle, imitate the algorithm of solving problems. It is bionics to get enlightenment from nature and imitate its structure for invention. This is one aspect of our learning to nature. On the other hand, we can also use bionic principles to design (including design algorithms), which is the idea of intelligent Learning (computation). This is a lot of content, such as artificial neural network technology, genetic algorithm and cluster intelligent technology.

1. Artificial Neural Network algorithm

"Artificial Neural Networks" (ARTIFICIAL neural Network, or Ann) is an engineering system which simulates the structure and intelligent behavior of human brain based on the understanding of its structure and operating mechanism. Early in the 40 's, psychologist McCulloch and mathematician Pitts put forward the first mathematical model of artificial neural network, and started the research era of neuroscience theory. Thereafter, F Rosenblatt, Widrow and J. J. Hopfield and other scholars have put forward the perceptual model, which makes artificial neural network technology flourish.

2. Genetic algorithm

genetic algorithm The (genetic algorithms) is a widely used and efficient method of random search and optimization based on the theory of biological evolution. Its main characteristic is the group search strategy and the information exchange between the individuals in the group, the search does not depend on the gradient information. Genetic algorithm was originally researched by the starting point is not designed to solve the optimization problem specifically, it and evolutionary strategy, evolutionary planning together constitute the main framework of evolutionary algorithms, are for the development of artificial intelligence services. So far, genetic algorithm is the most well-known algorithm in evolutionary algorithm

swarm (cluster) intelligence ( Swarm Intelligence)
inspired by the behavior of social insects, Computer workers through the simulation of social insects produced a series of traditional problems of new solutions, these research is the research of cluster intelligence. The group (SWARM) in cluster intelligence (Swarm Intelligence) refers to "a group of principals that can communicate directly or indirectly (by altering the local environment), which can work together to solve distribution problems." The so-called cluster intelligence refers to the "non-intelligent body through cooperation to show the characteristics of intelligent behavior." Cluster intelligence provides a foundation for finding solutions to complex distributed problems without centralized control and without a global model.

while intelligent learning on Chinese mining and large numbers Semantic analysis is also very important, it can make Chinese search more accurate, more comprehensive information, storage more reasonable. Ling Jiu nlpir text Search and mining development system its intelligent learning function is a self-learning module for Chinese word segmentation development.

Ling Jiu Nlpir Text Search and mining development System Intelligent Learning module is based on statistical machine learning method. First, a large number of text is given, using the statistical machine learning model to learn the rules of Word segmentation (called training), so as to achieve the segmentation of unknown text. We know that the ability of each word in the Chinese language is different, in addition, some words often appear as prefixes, and some words are often used as suffixes ("person", "sex"), combined with two words temporarily whether the information is a word, so get a lot of knowledge related to the word. This method is to make full use of the rules of Chinese word segmentation.

Chinese mining intelligent Learning has become the trend of semantic analysis of big data