i am going to assess shortcomings of transaction cost economics (tce) of oliver williamson. my argument is that this analysis suffers from misidentification of the relevant problem of the theory, analytical incoherence, inconsistent empirical support and methodological defects. in formulating coase's fundamental idea, williamson accepts an efficient equilibrium which occurs once forever, t...

Pressure-Volume-Temperature (PVT) properties are very important in the reservoir engineering computations. There are many approaches for predicting various PVT properties based on empirical correlations and statistical regression models. Last decade, researchers utilized neural networks to develop more accurate PVT correlations. These achievements of neural networks open the door to data mining...

Fuzzy systems address the imprecision of the input and output variables, which formally describe notions like “rather warm” or “pretty cold”, while provide a behaviour that depends on fuzzy data. This class of systems are classically represented by means of Fuzzy Inference Systems (FIS), a computing framework based on the concepts of fuzzy if-then rules and fuzzy reasoning. Even if FIS are larg...

This paper introduces an adaptive neuro-fuzzy inference system (ANFIS) for financial trading, which learns to predict price movements from training data consisting of intraday tick data sampled at high frequency. The empirical data used in our investigation are five-minute mid-price time series from FX markets. The ANFIS optimisation involves back-testing as well as varying the number of epochs...

reference evapotranspiration is an important parameter in irrigation systems' design that is evaluated through either direct (lysimeter) or calculated method (empirical equations). when there is a lack of lysimeters' data, penman monteith fao method could be employed as a standard method for evaluating the other empirical methods' results. in this research, 13 year evaporation pa...

In this study, a new adaptive controller is proposed for position control of pneumatic systems. Difficulties associated with the mathematical model of the system in addition to the instability caused by Pulse Width Modulation (PWM) in the learning-based controllers using gradient descent, motivate the development of a new approach for PWM pneumatics. In this study, two modified Feedback Error L...

This study aims to develop an Adaptive Network-based Fuzzy Inference System technique (ANFIS) and using the parameters of a complex mathematical model in the RO membrane performances. The ANFIS was constructed by using a subtractive clustering method to generate initial fuzzy inference systems. The model trained by 70% of the data set and then its validity is examined by remained 30% data set. ...