Memory Principles And Applied Research On Perceptual Model

Memories are stored in people’s memories of living and production, is a prerequisite forhuman progress, is to ensure that all the necessary conditions for the survival of basic humansecurity. Artificial intelligence research is an important branch of biological memory, whichwill help to release mankind from a complex mental activity, played innovation, so as toenhance productivity. Based on prior academic reference to the large number of documents, tobuild mathematical models of biological memory, and the memory principles applied artificialfish taste and smell perception model, behavioral choices affect memory and emotionalbehavior of the model such as the direction.First of all, I simply divided into transient memory, memory classification study long-short, and attention to the forgotten role in the process of decay in the memory, the memoryupdate constructed a mathematical model of artificial fish. For artificial life research in thepast presence of artificial fish access to information is not comprehensive, but made ofartificial fish taste and smell perception model based on memory principle, the use of thespecial characteristics of information with memory, combined with recognition algorithms toachieve artificial fish memory dynamically updated and artificial fish identification of food.Secondly, to draw on existing stimulus-feedback mechanisms, in particular the concept ofemotional memory summed established selection is based on the principle of artificial fishbehavior emotional memory model, selected through the evaluation of past conduct, so thatthe choice of more realistic behavior of organisms and initiative. Finally, the paper by taxwarning background appears insufficient number of current taxes and combine research onneural network learning, proposed early warning system based on tax Associative Memory Neural Networks. Design and implementation of the system, the system will first be VATinvoices (unbilled) differences in income and reported revenue of anomaly. The second is thevalue-added tax, business tax and income differences in abnormal amount of corporateincome tax revenue. The third is a VAT invoice stub retention tax, the fourth is the legalrepresentative of the enterprise change monitoring abnormal data. The fifth is the total amountof corporate profits and income tax returns of the total annual profit of poor exception. Thesixth is the difference between the VAT declaration of income, business income tax return(check proceeds) and the amount of corporate income tax revenues exception. The seventh isa risk factor for seven scores as a business tax payable abnormal changes in the input vector,with the first five years of data, using associative memory model of BP neural networkalgorithm, the following year, a company ’s risk profile as a scientific forecasts.In this paper, based on the principle of memory, a combination of differentcharacteristics of different application areas, the establishment of three different perceptualand behavioral models, and finally, with the specific experiments and simulations to verify,experiments show that: the memory model applied in good in the sense of taste and smell,emotional and cognitive areas of the tax warning. Memory model constructed in this paper onthe future of biological memory principles have some access to the value of research, as wellas artificial intelligence research opens a new point.