000			01247 a2200229 4500
999			_c946 _d946
005			20200925115752.0
008			200925b ||||| |||| 00| 0 eng d
020			_a9780195667998
040			_bDDC
082			_a006.4 _bBIS
100			_aBishop, Christopher M.
245			_aNeural networks for pattern recognition
250			_aIndian edition.
260			_aOxford : _bOxford University Press, _c1995.
300			_bxvii, 482 pages : _aillustrations ; _c24 cm
505			_t1. Statistical Pattern Recognition -- _t2. Probability Density Estimation -- _t3. Single-Layer Networks -- _t4. The Multi-layer Perceptron -- _t5. Radial Basis Functions -- _t6. Error Functions -- _t7. Parameter Optimization Algorithms -- _t8. Pre-processing and Feature Extraction -- _t9. Learning and Generalization -- _t10. Bayesian Techniques.
520			_aThis is a comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book describes techniques for modelling probability density functions.
650			_aPattern recognition systems
650			_aNeural networks (Computer science)
942			_cG _2ddc