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The article contains an analysis leading to the selection of an algorithm for classifying data listed on the Day-Ahead Market of TGE S.A. in MATLAB and Simulink using Deep Learning Toolbox. In this regard, an introduction to deep learning methods, classification methods, and classification algorithms is provided first. Particular attention was paid to the essence of three important deep learning methods...
W artykule przedstawiono możliwości zastosowania sztucznych sieci neuronowych oraz innych metod do analizy i rozpoznawania sygnałów elektrokardiograficznych. Dokonano przeglądu zagadnień dotyczących EKG, pozyskiwania i interpretacji sygnałów, sztucznych sieci neuronowych oraz danych literaturowych na temat zastosowania sieci neuronowych do rozpoznawania sygnałów EKG. Podjęto próbę zaimplementowania...
Evaluating road safety is essential in identifying the potential road safety hazard which could result in casualties and property losses. in this paper, a BP neural network was built by using neural network toolkit in "Matlab", Two similar roadways are used in calibrating and validating the network. The high level of predictability provided that the application of BP neural network model...
According to the Characteristics of complex object system, a comprehensive evaluation model for complex object system is established based on fuzzy theory and artificial neural network. To realize the intelligence and the visualization of the evaluation process, an intelligent comprehensive evaluation software system with the help of Visual Basic, database technique and MATLAB toolbox is designed...
The drilling of hard-to-cut high manganese steel materials is a difficulty in the field of machining. Research method for drilling temperature which has been commonly used is experimental method. The method has long-time and the high-cost drawbacks. Adopting error back neural network technology and using Matlab and C language programming method, in this paper neural network prediction model of drilling...
The stator flux observer is a key part in the method of Direct Torque Control (DTC). However, the accuracy of the stator flux estimation directly affected the performance of DTC. The traditional induction motor stator flux observation method have been analyzed in This paper. And for the Shortcomings of existing methods, a on-line identification methods based on Radial Basis Function(RBF) have been...
With financial globalization, the rapid development of financial derivatives and the complexity of banks management, operational risk measurement and management in commercial bank management is becoming increasingly important. How to effectively predict, control and prevent operational risk in commercial banks have become an important issue. Using BP neural network model to predict the risk has its...
Hybrid system is a dynamic system that has discrete state transfer and continuous state variation. Recently, popular hybrid system model includes threshold-event-driven hybrid systems (TEDHS) and polyhedral invariant hybrid automaton (PIHA). Finite state machine is used to describe the discrete feature of hybrid system and reachable set of stream pipe is used to describe its continuity approximately...
Signature verification is the process used to recognize an individual's handwritten signature to prevent fraud. In this paper pressure at the pen-tip together with the x, and y coordinates of the signature are measured and features extracted from these are used to verify the signature. A pressure pad was used to obtain signature samples. A signature verification system using SOM neural network was...
In this paper, asymptotic stability for a new type of neutral delay neural networks systems is investigated. Stability criteria are presented by using Lyapunov method and linear matrix inequalities (LMIs) which can be easily solved by LMI Toolbox in Matlab.
The basic principle of space vector PWM is analyzed, and a novel algorithm for SVPWM based on neural network is proposed. This neural network SVPWM controller completely covers the under-modulation and over-modulation linearly extending operation smoothly up to the six-step mode. The neural network controller has the advantage of very fast implementation by using SVPWM algorithm, and it can increase...
To solve the problems of torque ripple and inconstant switch frequency of inverter in the conventional direct torque control (DTC) for permanent magnet synchronous motor (PMSM) drive, a novel DTC method using space vector pulse width modulation (SVM) is proposed based on analysis of PMSM mathematical model. In this novel DTC system of PMSM , traditional torque hysteresis controller and flux hysteresis...
This paper expound concept of credit evaluation of enterprise. Establish system of enterprise with the chosen 12 single financial ratio indexes which was divided into four groups and a model of three layers of BP NEURAL NETWORKS which can use theory and method of ANN forecast the credit of enterprise. In the end, use the indexes of an enterprise and MATLAB to forecast the credit.
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