Intelligent information processing technology is a frontier and challenging research direction in the field of signal and information technology. Based on the theory of artificial intelligence, it takes the intelligence of information processing as the core, including computer intelligence (intelligent processing of text, image, voice and other information), communication intelligence and control information intelligence. ?
This book mainly includes: fuzzy theory, expert system, artificial neural network, genetic algorithm, simulated annealing algorithm, ant colony algorithm, immune algorithm, clonal selection algorithm and particle swarm optimization algorithm, and gives the specific implementation method of the algorithm based on MATLAB language, as well as specific application examples in information processing and modern communication systems.
Intelligent information processing is a technology that uses computers to automatically recognize objects, images, sounds and characters. Its general process includes: sample collection, information digitization, pretreatment, data feature extraction, comparison with standard mode, classification and identification.
Because information is usually carried on a certain signal, the processing of information is always realized by signal processing. So information processing and signal processing often have similar meanings.
The main purposes of information processing are: to improve the effectiveness; Improve anti-interference performance; The effect of improving subjective feelings; Identifying and classifying information; And personal selection information. Generally speaking, it is to better match the nature of the destination, discard those parts that have nothing to do with the destination, and highlight the useful parts that the destination needs.