* Corresponding author. E-mail addresses: [email protected] (I. Pulid 1537-5110/$ – see front matter a 2008 IAgrE. doi:10.1016/j.biosystemseng.2008.09.032 Recently, Computational Neural Networks (CNNs) and fuzzy inference systems have been successfully applied to time series forecasting. In this study the performance of a hybrid methodology combining feed forward CNN, fuzzy logic and genetic algor...

This paper discusses the technology of extracting the chemical knowledge from the structured electronic sources, problem-oriented systems of science data analytics, and methods of science data analysis. Application of the feed-forward artificial neural network for predicting the reactivity of a compound (the classical potential barrier) in reactions of hydrocarbons with hydrogen atom in solutio...

This paper presents a comparison of experimental results and a fuzzy rule based system model for calculating the cutting force in the turning operation. A full bridge dynamometer was used to measure the cutting forces over the mild steel work piece and Cemented Carbide Insert tool for different combinations of cutting velocity, feed rate and depth of cut. The rake angle, approach angle and nose...

Most methods of fuzzy rule-based system identification (SI) either ignore feature analysis or do it in a separate phase. This paper proposes a novel neuro-fuzzy system that can simultaneously do feature analysis and SI in an integrated manner. It is a five-layered feed-forward network for realizing a fuzzy rule-based system. The second layer of the net is the most important one, which along wit...

This paper focuses on the vibration control issue of a Flexibly Supported Parallel Manipulator (FSPM), which consists of a flexible support and a rigid parallel manipulator. The distinct characteristic of an FSPM is the dynamic coupling between the rigid and flexible parts, which challenges the vibration control implemented by the rigid parallel manipulator. The re...

The study finds the effect of different input parameters that are feed rate, dwell time, current and gap between the induction coil & work-piece on the output parameters that are Hardness at rolled {H(R)}, Normalized {H(N)} and Hardened Tempered {H(T)} conditions of the material (AISI 1040 steel). The degree of membership function of an object in a fuzzy set is defined by membership functions (...

Problem statement: Surface roughness is a major consideration in modern Computer Numerical Control (CNC) turning industry. Most existing optimization researches for CNC finish turning were either accomplished within certain manufacturing circumstances, or achieved through numerous equipment operations. Therefore, a general deduction optimization scheme is deemed to be necessary for the industry...

In the paper, a novel HVDC transmission system operating with weak ac system has been modeled with speed and precision & analyses the control strategy & performance of system, which is controlled using fuzzy. The system can feed a weak or even dead network under fluctuations and big variations of the input power. The fuzzy logic-based control of the system helps to optimize the efficiency of th...

This paper presents a recent development of PID controllers. The proposed controller design aims to overcome the drawbacks of classical PID controller, such as: integrator windup due to the saturation in the actuator and the slow response to reject disturbances. Classical approaches to treat the windup problem in PID controller design are discussed and analyzed such as conditional integration m...

Litter categories and grades of Welsh beaches were satisfactorily predicted by multi-layered feed forward neural networks and fuzzy systems, which are artificial intelligence techniques. Neural network structures with hidden layers consisting of 40 neurons of uni-bipolar sigmoid functions were constructed for Welsh beaches and they were trained by supervised (conjugate gradient) learning algori...