Neural Networks and Their Applications.- Parallel approach to the Levenberg-Marquardt learning algorithm for feed forward neural networks.- Microarray Leukemia Gene Data Clustering by Means of Generalized Self-Organizing Neural Networks with Evolving Tree-Like Structures.- Innovative Types and Abilities of Neural Networks Based on Associative Mechanisms and a New Associative Model of Neurons.- Complexity of shallow networks representing finite mappings.- Probabilistic Neural Network Training Procedure with the Use of SARSA Algorithm.- Extensions of Hopeld Neural Networks for solving of stereo-matching Problem.- Molecular approach to Hopeld neural network.- Toward work groups classification based on probabilistic neural network Approach.- Adaptation of RBM learning for Intel MIC architecture.- Using an Artificial Neural Network to Predict Loop Transformation Time.- Using Parity-N problems as a way to compare abilities of shallow, very shallow and very deep architectures.- Product Multi-kernels for Sensor Data Analysis.- Fuzzy Systems and Their Applications.- A Fuzzy Approach to Competitive Clusters Using Moore Families.- A Fingerprint Retrieval Technique using Fuzzy Logic-based Rules.- Initial Comparison of Formal Approaches to Fuzzy and Rough Sets.- Comparative approach to the multi-valued logic construction for Preferences.- Learning Rules for Type-2 Fuzzy Logic System in The Control of DeNOx Filter.- Selected Applications of P1-TS Fuzzy Rule-Based Systems.- Fuzzy Agglomerative Clustering.- An exponential-type entropy measure on intuitionistic fuzzy sets.- Comparative Analysis of MCDM Methods for Assessing the Severity of Chronic Liver Disease.- Solving Zadeh's challenge problems with the application of RDM-arithmetic.- The Directed Compatibility Between Ordered Fuzzy Numbers - a Base Tool for a Direction Sensitive Fuzzy Information Processing.- Learning Rules for Hierarchical Fuzzy Logic Systems with Selective Fuzzy Controller Activation.- A new approach to the rule-base evidential reasoning with application.- Bias-correction fuzzy c-regressions algorithm.- Interval Type-2 Locally Linear Neuro Fuzzy Model based on Locally Linear Model Tree.- Evolutionary Algorithms and Their Applications.- Hybrids of two-subpopulation PSO algorithm with local search methods for continuous optimization.- Parallel coevolutionary algorithm for three-dimensional bin packing Problem.- Adaptive Differential SHADE with Competing Crossover Strategies.- A Parallel Approach for Evolutionary Induced Decision Trees.- MPI+OpenMP Implementation.- On the ability of the one-point crossover operator to search the space in a genetic algorithm.- Multiple Choice Strategy for PSO Algorithm Enhanced with Dimensional Mutation.- A hybrid differential evolution-gradient optimization method.- On the Tuning of Complex Dynamics Embedded into Differential Evolution.- IV Classification and Estimation.- Mathematical Characterization of Sophisticated Variants for Relevance Learning in Learning Matrix Quantization Based on Schatten-p-norms.- Adaptive Active Learning with Ensemble of Learners and Multiclass Problems.- Orthogonal Series Estimation of Regression Functions in Nonstationary Conditions.- A comparison of shallow decision trees under real-boost procedure in application to landmine detection using Ground Penetrating Radar.- A new Interpretability Criteria for Neuro-fuzzy Systems for Nonlinear Classification.- Multi-class nearest neighbor classier for incomplete data handling.- Cross-Entropy Clustering approach to One-class classification.- Comparison of the Efficiency of Time and Frequency Descriptors Based on the Different Classification Conceptions.- CNC Milling Tool Head Imbalance Prediction Using Computational Intelligence Methods.- A Feature-based Machine Learning Agent for Automatic Rice and Weed Discrimination.- Relation of average error in Prolate Spheroidal Wave Functions algorithm for bandlimited functions approximation to radius of informat