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121. Aim In order to study the application of fuzzy relative entropy for fuzzy pattern recognition.

122. Electronic tongue is a multi-sensors system which can be used to analyse liquids . It is composed of sensors array, signal process and pattern recognition system.

123. Finally this paper point out application of relative entropy coefficient in pattern recognition.

124. It differentiates vehicle response frequency curve and fuzzy pattern recognition.

125. An approach of computer geometric pattern recognition, which is based on semantic knowledge of an engineering structure sketch, is presented in this paper.

126. Pattern recognition of thermophilic and mesophilic proteins were studied through principle component analysis, partial least-square regression and BP neural network.

127. Adaptive pattern recognition system (WISARD) has found extensive applications in various areas because of its massive parallel distributed processing ability, versatility and self adaptability.

128. Pattern recognition classifier design, the source for the K - means, after debugging through.

129. In this paper , we present a novel method for spectral signal pattern recognition.

130. Employing the signals of a normal bearing, ball fault, inner race fault and outer race fault for pattern recognition, the result indicates that the method is valid and robust.

131. In this paper, open issues of information fusion and pattern recognition based on 2D graph representation of multivariate data have been proposed.

132. The two-star pattern recognition method is researched on the small field of view provided that the sky-area to be observed is fixed.

133. NORMAL Data normalization for pattern recognition complete source code, has been tested.

134. In order to solve complicated problems of pattern recognition[http://sentencedict.com/pattern recognition.html], a method of multi-model of artificial neural networks with serial-parallel structure is proposed.

135. As a mode of expression of knowledge the syntactic pattern recognition is included in the preliminary intelligence system here constructed for the interpretation of potential field data.

136. In order to detect QRS complex correctly, ECG signal is first filtered and approximated piecewise, and then is recognized with syntactic pattern recognition.

137. Handwritten character recognition is one of the research topic field of image processing and pattern recognition.

138. The result indicates that based on CP neural network, the fault pattern recognition system has strong nonlinear mapping ability, therefore it can be used to correctly classify the mechanical faults.

139. The gas range of Bao - 1 block is also predicted by using the seismic pattern recognition.

140. Optical character recognition ( OCR ) is one of the most successful applications of pattern recognition.

141. A real-time television tracking system using pattern recognition and image processing techniques is described.

142. Its mathematical basis are topological analysis of sample set in the high dimensional feature space, therefore it is also called the Topological Pattern Recognition.

143. Entropy, standard deviation, mean absolute deviation of the PD gray images are extracted and the acquired characteristics are analyzed for five types of discharge pattern recognition.

144. With the development of pattern recognition, its research object changed from simple target to complex target.

145. Because of the inherent feature of optical pattern recognition, it is quite difficult to realize target recognition in natural background.

146. Methods According to the modified fuzzy relative entropy formula, the application of fuzzy relative entropy for fuzzy pattern recognition is studied.

147. But Gaussian model is often used in the pattern recognition research.

148. For a prosthesis controlled by sEMG, the ultimate problem of the motional pattern recognition is how to find out the effective characteristic signal.

149. The method of diffraction pattern analysis has been widely applied to pattern recognition.

150. This paper studies the design of pattern recognition system based multiple classifiers combination.