Neuro-Fuzzy Architectures and Hybrid Learning
نویسنده
چکیده
Follow up what we will offer in this article about neuro fuzzy architectures and hybrid learning. You know really that this book is coming as the best seller book today. So, when you are really a good reader or you're fans of the author, it does will be funny if you don't have this book. It means that you have to get this book. For you who are starting to learn about something new and feel curious about this book, it's easy then. Just get this book and feel how this book will give you more exciting lessons.
منابع مشابه
DUNEDIN NEW ZEALAND Hybrid Neuro-Fuzzy Inference Systems and their Application for On-line Adaptive Learning of Nonlinear Dynamical Systems
In this paper, an adaptive neuro-fuzzy system, called HyFIS, is proposed to build and optimise fuzzy models. The proposed model introduces the learning power of neural networks into the fuzzy logic systems and provides linguistic meaning to the connectionist architectures. Heuristic fuzzy logic rules and input-output fuzzy membership functions can be optimally tuned from training eramples by a ...
متن کاملHybrid Systems of Computational Intelligence Evolved from Self- Learning Spiking Neural Network
Computational intelligence paradigm covers several approaches for technical problems solving in an intelligence manner, such as artificial neural networks, fuzzy logic systems, evolutionary computation, etc. Each approach provides engineers and researchers with the smart and powerful tools to handle various real-life concerns. Even more powerful tools were designed at the joint of different com...
متن کاملFast Transient Hybrid Neuro Fuzzy Controller for STATCOM During Unbalanced Voltage Sags
A static synchronous compensator (STATCOM) is generally used to regulate voltage and improve transient stability in transmission and distribution networks. This is achieved by controlling reactive power exchange between STATCOM and the grid. Unbalanced sags are the most common type of voltage sags in distribution networks. A static synchronous compensator (STATCOM) is generally used to maintain...
متن کاملComplex Neuro-Fuzzy Self-learning Approach to Function Approximation
A new complex neuro-fuzzy self-learning approach to the problem of function approximation is proposed, where complex fuzzy sets are used to design a complex neuro-fuzzy system as the function approximator. Particle swarm optimization (PSO) algorithm and recursive least square estimator (RLSE) algorithm are used in hybrid way to adjust the free parameters of the proposed complex neuro-fuzzy syst...
متن کاملNeuro-fuzzy Approach for Fault Location and Diagnosis Using Online Learning System
This paper outlines a hybrid approach of neuro-fuzzy based learning and classification approach based on the online learning systems. The effect of fault diagnosis for the suggested fault location tool is evaluated over the conventional fault diagnosis based approaches. The method of fault location based on the conventional offline neuro controller approach is compared with the suggested hybrid...
متن کامل