Corrigendum to “Coverage-based resampling: Building robust consolidated decision trees” [Knowledge-Based Systems 79(2015)51–67]

Presenting an Entrepreneurial Brand Building Model to Knowledge-Based Firms

According to the matter of knowledge-based businesses development in economic development and job creation of the state, it is so important to identify effective strategies and factors in developing entrepreneurship, supporting commercializing and branding of knowledge-based businesses and the environment in which these businesses fare formed. The purpose of the present research is offering an ...

Behavior of Consolidated Trees when using Resampling Techniques

Many machine learning areas use subsampling techniques with different objectives: reducing the size of the training set, equilibrate the class imbalance or non-uniform cost error, etc. Subsampling affects severely to the behavior of classification algorithms. Decision trees induced from different subsamples of the same data set are very different in accuracy and structure. This affects the expl...

Building Large Knowledge- Based Systems

Building Large Knowledge-Based Systems (Addison-Wesley, Reading, Massachusetts, 1990, 372 pages, $39.75, ISBN O-201-51752-3) by Douglas B. Lenat and R. V. Guha is an interim report on the Microelectronic and Computer Technology Corporation (MCC) Cyc project. Cyc is an ambitious lo-year effort whose goal is to overcome the brittleness of contemporary expert systems by capturing the millions of f...

COVERAGE: verifying multiple-agent knowledge-based systems

designing unmanned aerial vehicle based on neuro-fuzzy systems

در این پایان نامه، کنترل نرو-فازی در پرنده هدایت پذیر از دور (پهپاد) استفاده شده است ابتدا در روش پیشنهادی اول، کنترل کننده نرو-فازی توسط مجموعه اطلاعات یک کنترل کننده pid به صورت off-line آموزش دیده است و در روش دوم یک کنترل کننده نرو-فازی on-line مبتنی بر شناسایی سیستم توسط شبکه عصبی rbf پیشنهاد شده است. سپس کاربرد این کنترل کننده در پهپاد بررسی شده است و مقایسه ای ما بین کنترل کننده های معمو...