A novel voting convergent difference neural network for diagnosing breast cancer

[1]  Vanessa Souza Araujo,et al.  Using Resistin, Glucose, Age and BMI and Pruning Fuzzy Neural Network for the Construction of Expert Systems in the Prediction of Breast Cancer , 2019, Mach. Learn. Knowl. Extr..

[2]  Kemal Polat.  Similarity-based attribute weighting methods via clustering algorithms in the classification of imbalanced medical datasets , 2018, Neural Computing and Applications.

[3]  Long Jin,et al.  Modified single-output Chebyshev-polynomial feedforward neural network aided with subset method for classification of breast cancer , 2019, Neurocomputing.

[4]  Tao Xie,et al.  DA-Based Parameter Optimization of Combined Kernel Support Vector Machine for Cancer Diagnosis , 2019, Processes.

[5]  Dongrui Wu,et al.  Wasserstein Distance based Deep Adversarial Transfer Learning for Intelligent Fault Diagnosis , 2019, Neurocomputing.

[6]  O. Mangasarian,et al.  Multisurface method of pattern separation for medical diagnosis applied to breast cytology. , 1990, Proceedings of the National Academy of Sciences of the United States of America.

[7]  Fa Zhang,et al.  Breast cancer histopathological image classification using a hybrid deep neural network. , 2020, Methods.

[8]  Zhijun Zhang,et al.  A Varying-Parameter Convergent-Differential Neural Network for Solving Joint-Angular-Drift Problems of Redundant Robot Manipulators , 2018, IEEE/ASME Transactions on Mechatronics.

[9]  F. Caramelo,et al.  Using Resistin, glucose, age and BMI to predict the presence of breast cancer , 2018, BMC Cancer.

[10]  Zhijun Zhang,et al.  Convergence and Robustness Analysis of Novel Adaptive Multilayer Neural Dynamics-Based Controllers of Multirotor UAVs , 2021, IEEE Transactions on Cybernetics.

[11]  Yunong Zhang,et al.  Two New Types of Zhang Neural Networks Solving Systems of Time-Varying Nonlinear Inequalities , 2012, IEEE Transactions on Circuits and Systems I: Regular Papers.

[12]  Hiba Chougrad,et al.  Multi-label transfer learning for the early diagnosis of breast cancer , 2020, Neurocomputing.

[13]  Stuart J. Russell,et al.  Experimental comparisons of online and batch versions of bagging and boosting , 2001, KDD '01.

[14]  Xilong Qu,et al.  Robustness Analysis of a Power-Type Varying-Parameter Recurrent Neural Network for Solving Time-Varying QM and QP Problems and Applications , 2020, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[15]  Zhijun Zhang,et al.  A Varying-Parameter Adaptive Multi-Layer Neural Dynamic Method for Designing Controllers and Application to Unmanned Aerial Vehicles , 2020 .

[16]  Zhijun Zhang,et al.  A New Varying-Parameter Recurrent Neural-Network for Online Solution of Time-Varying Sylvester Equation , 2018, IEEE Transactions on Cybernetics.

[17]  Mahmoud Hassaballah,et al.  Spectral–Spatial Features Integrated Convolution Neural Network for Breast Cancer Classification , 2020, Sensors.

[18]  Hari Om,et al.  A modified neuro-fuzzy classifier and its parallel implementation on modern GPUs for real time intrusion detection , 2019, Appl. Soft Comput..

[19]  Abdul Rahim Abdullah,et al.  Binary Competitive Swarm Optimizer Approaches for Feature Selection , 2019, Comput..

[20]  Zhijun Zhang,et al.  Power-Type Varying-Parameter RNN for Solving TVQP Problems: Design, Analysis, and Applications , 2019, IEEE Transactions on Neural Networks and Learning Systems.

[21]  Norbert Jankowski,et al.  A Fast Neural Network Learning Algorithm with Approximate Singular Value Decomposition , 2019, Int. J. Appl. Math. Comput. Sci..

[22]  Xianmin Zhang,et al.  Deep multi-scale convolutional transfer learning network: A novel method for intelligent fault diagnosis of rolling bearings under variable working conditions and domains , 2020, Neurocomputing.

[23]  Jun Fan,et al.  Structure-Leveraged Methods in Breast Cancer Risk Prediction , 2016, J. Mach. Learn. Res..

[24]  Feiqi Deng,et al.  Varying-Parameter Convergent-Differential Neural Solution to Time-Varying Overdetermined System of Linear Equations , 2020, IEEE Transactions on Automatic Control.

[25]  Francisco Herrera,et al.  BreakHis based breast cancer automatic diagnosis using deep learning: Taxonomy, survey and insights , 2020, Neurocomputing.

[26]  Zhijun Zhang,et al.  A Complex Varying-Parameter Convergent-Differential Neural-Network for Solving Online Time-Varying Complex Sylvester Equation , 2019, IEEE Transactions on Cybernetics.

[27]  A. Sarmento-Ribeiro,et al.  Hyperresistinemia and metabolic dysregulation: a risky crosstalk in obese breast cancer , 2016, Endocrine.

[28]  Marek Kowal,et al.  The Feature Selection Problem in Computer–Assisted Cytology , 2018, Int. J. Appl. Math. Comput. Sci..

[29]  Abdul Rahim Abdullah,et al.  A New Co-Evolution Binary Particle Swarm Optimization with Multiple Inertia Weight Strategy for Feature Selection , 2019, Informatics.

[30]  Tao Chen,et al.  An Exponential-Type Anti-Noise Varying-Gain Network for Solving Disturbed Time-Varying Inversion Systems , 2020, IEEE Transactions on Neural Networks and Learning Systems.

[31]  Hong Chen,et al.  Approximations of continuous functionals by neural networks with application to dynamic systems , 1993, IEEE Trans. Neural Networks.

[32]  M. M. Saritas,et al.  Performance Analysis of ANN and Naive Bayes Classification Algorithm for Data Classification , 2019 .

[33]  Shuai Li,et al.  A New Varying-Parameter Convergent-Differential Neural-Network for Solving Time-Varying Convex QP Problem Constrained by Linear-Equality , 2018, IEEE Transactions on Automatic Control.

[34]  Zhijun Zhang,et al.  An Adaptive Fuzzy Recurrent Neural Network for Solving the Nonrepetitive Motion Problem of Redundant Robot Manipulators , 2020, IEEE Transactions on Fuzzy Systems.

[35]  S. B. Akben.  Determination of the Blood, Hormone and Obesity Value Ranges that Indicate the Breast Cancer, Using Data Mining Based Expert System , 2019 .

[36]  Zhijun Zhang,et al.  A Varying Parameter Recurrent Neural Network for Solving Nonrepetitive Motion Problems of Redundant Robot Manipulators , 2019, IEEE Transactions on Control Systems Technology.

[37]  Yamid Fabián Hernández-Julio,et al.  Framework for the Development of Data-Driven Mamdani-Type Fuzzy Clinical Decision Support Systems , 2019, Diagnostics.