Dr inż. Paweł Szulczyński

Teaching

Information for students - summer semester, academic year 2019/2020

Consultations for students:
Thursday 9.45-11.30
room 437 or 413, 426, 424y

Materials and information for lectures, classes and laboratories

Basics of Smart Systems- lectures, semester 1 SAAS,

• BSS_1

  Artificial neural networks
  -Model of a biological neuron
  -Mathematical models of the neuron
  -Activation functions
  -Representation of the neuron model in Matlab
  -Structures of artificial neural networks
• BSS_2

  Typical tasks of artificial neural networks (ANN)
  Classification of learning algorithms for ANNs
  Simple perceptron network
  - Comment
• BSS_3

  Rosenblatt's learning algorithm for perceptron
  Modifications of the Rosenblatt's algorithm
  - Comment - Exercise_01
• BSS_4

  Adaptive linear neuron – Adaline networks
  Learning of the Adaline network – Widrow-Hoff Algorithm
  Adaptive linear element (Adaline) with sigmoidal output
  - Comment - Exercise_02 -
  Example

  apple and banana sorter
  Widrow-Hoff Learning
• BSS_5

  Multilayer adaptive linear networks (Madaline)
  Single-layer feedforward networks
  - Comment -
  Example

  neural network
  Conversion of a binary number to a decimal number
  Rosenblatt’s learning algorithm for perceptron
• BSS_6a

  Multi-layer feedforward networks
  Backpropagation of the error
• BSS_6b

  Backpropagation of the error - continued
• BSS_7

  Momentum backpropagation method (MBP)
  Algorithm of the error backpropagationmethod
  Efficiency improvement of the backpropagation method
• BSS_8

  Radial basis function (RBF) networks
  Cover theorem (on separability)
  Regularization of the RBF network
  RBF networks learning
• BSS_9

  Generalization
  Elements of unidirectional networks theory
  Vapnik-Chervonenkis inequality
  Theorem 1 (Kolmogorov)
  Theorem 2
• BSS_10

  Crisp (classical) and fuzzy sets
• BSS_10a

  Standard fuzzy set membership functions
  Properties of fuzzy sets (continued)
  Fuzzy sets operations
• BSS_11

  Alternative definitions of product and sum of fuzzy files
  Concentration and dilution of the fuzzy file
  Cartesian product of fuzzy files
  Extension principle
  Fuzzy numbers
• BSS_12

  What Is Fuzzy Logic?
• BSS_13

  Fuzzy inference systems
  Fuzzification
  Fuzzy inference
  Defuzzification

Research

Research fields (technical sciences):

automatic control and robotics

Detailed research areas:

path planning, control design and control applications, industrial robots, mobile robotics, nonholonomic systems