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Dynamic Difficulty Adjustment (DDA) can adjust game difficulty level dynamically; so it generates a tailor-made experience for each gamer. If a game is too easy, the gamer will feel bored; if it is too hard, the gamer will become frustrated. DDA is a mechanism to overcome this dilemma and augment the entertainment of a game by dynamically adjusting the parameters, scenarios and behaviors in the game...
Air quality assessment is the basis of environmental planning, and play an important role for the environmental protection. Through combining the entropy value theory and attribute recognition model together, attribute recognition model based on entropy weight is set up and applied to evaluate comprehensively air environment quality, the problem which calculating weight coefficient is subjective can...
A novel image fusion algorithm using adaptive Unit-Linking Pulse Coupled Neural Networks (ULPCNN) is put forward. Firstly, ULPCNN threshold function is improved, and then the null interconnection and the adaptive interconnection ULPCNN are formed. Secondly, the nonlinear mapped ULPCNN time matrix can be obtained, which can represent the characteristic of the single pixel, but can reflect the pixel...
The ensemble method called Mixture of Experts, based on the Divide-and-Conquer principle was proposed to model a new Strabotomy Surgical Decision system, in which an extra gating component is used to compute weights dynamically according to the inputs. The aim is to develop a new operation quantity planning decision model (OQPDM) to predict the corrective quantity of lateral and medial rectus in strabotomy...
A novel method to detect small target embedded in sea clutter is presented for high frequency (HF) radar. The method is rooted in different characters between instantaneous radial velocity of sea current and moving target, and relies on the neural network for its implementation. By estimating the instantaneous velocity of sea current and target, we find that a spatial nonlinear model rather than deterministic...
Based on circular conjugate symmetry properties (CCSP) of discrete Fourier transform (DFT), a novel approach to nonorthogonal frequency division multiplexing (NOFDM) is presented. Different from other NOFDM systems, a simple estimation algorithm is exploited in the receiver instead of maximum likelihood sequence detection (MLSD) while the bit error rate (BER) of the proposed system is similar to those...
A designing method for counter-propagation neural networks based on rough set theory is presented in this paper. Counter-propagation networks has been applied to various fields because of its topological construction closed to the mankindpsilas brain, while rough set theory has a powerful capability for qualitative analysis. By combining those advantages of the two theories, we can construct a kind...
The problem of image Gaussian noise filtering in the framework of Pulse Coupled Neural Network (PCNN) time matrix is addressed. The time matrix, generated by PCNN, contains useful information related to spatial structure of the image under processing. It is a mapping from image spatial information to time sequence. Through time matrix, Gaussian noisy pixels can be detected and then processed by using...
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