Artificial Intelligent and Pattern Recognition system based Novel Intelligent Algorithm for Scientific Measurements

Determination of different forms of Chromium in cosmetics by reversed-phase Ion-pair liquid Chromatography-inductively coupled plasma mass spectrometry with the artificially intelligent systems is analyzed in this paper. The pattern recognition system (PRS) that introduces these algorithms is intelligent. This so-called accuracy often has some considerable limitations, firstly statically, and then secondly unilaterally. Because each object of the theory of boundary is not clear, the core static membership function description is not reality, object and environment are not static. Hence, this paper proposes the novel intelligent algorithm is proposed for scientific measurement. The experiment is conducted through a massive database. The simulation results have then proven effectiveness.

[1]  John Benedict du Boulay,et al.  Artificial Intelligence as an Effective Classroom Assistant , 2016, IEEE Intelligent Systems.

[2]  Adem Kalinli,et al.  A Comparative Study of Statistical and Artificial Intelligence based Classification Algorithms on Central Nervous System Cancer Microarray Gene Expression Data , 2016 .

[3]  Qi Chen,et al.  Single image shadow detection and removal based on feature fusion and multiple dictionary learning , 2017, Multimedia Tools and Applications.

[4]  Yu Sun,et al.  Analysis for center deviation of circular target under perspective projection , 2019, Engineering Computations.

[5]  Gabriella Pigozzi,et al.  Preferences in artificial intelligence , 2016, Annals of Mathematics and Artificial Intelligence.

[6]  Maartje M. A. de Graaf,et al.  How People Explain Action (and Autonomous Intelligent Systems Should Too) , 2017, AAAI Fall Symposia.

[7]  Jin Peng,et al.  Foreword to the special issue of journal of intelligent manufacturing on uncertain models in intelligent manufacturing systems: dedicated to professor Mistuo Gen for his 70th birthday , 2017, J. Intell. Manuf..

[8]  Yanjun Han,et al.  Maximum Likelihood Estimation of Functionals of Discrete Distributions , 2014, IEEE Transactions on Information Theory.

[9]  Frede Blaabjerg,et al.  Artificial Intelligence Aided Automated Design for Reliability of Power Electronic Systems , 2019, IEEE Transactions on Power Electronics.

[10]  Nanning Zheng,et al.  Artificial intelligence test: a case study of intelligent vehicles , 2018, Artificial Intelligence Review.

[11]  Hasmat Malik,et al.  A Novel Intelligent Bifurcation Classification Model Based on Artificial Neural Network (ANN) , 2019 .

[12]  Joanna Bryson,et al.  Standardizing Ethical Design for Artificial Intelligence and Autonomous Systems , 2017, Computer.

[13]  Mary O'Neill,et al.  Reversible optical switching memristors with tunable STDP synaptic plasticity: a route to hierarchical control in artificial intelligent systems. , 2017, Nanoscale.

[14]  Nikos Mastorakis,et al.  Viral Hepatitis Diagnosis : A Survey of Artificial Intelligent Techniques , 2016 .

[15]  Yumin Wang,et al.  Cluster and cloud computing framework for scientific metrology in flow control , 2017, Cluster Computing.

[16]  Bassem S. Abu-Nasser.  Medical Expert Systems Survey , 2017 .

[17]  K. Ramkumar,et al.  Analysis of Speed Estimation for Sensorless Induction Motor Using Model-Based Artificial Intelligent Estimation Techniques , 2016 .