introduction
the controller always aims to achieve the process variable to the
given set point value. this is the main task of the properly
designed controller. the controller should also provide some
flexibility in case of change in set point and disturbances. today
there are many methods for designing intelligent controllers, such
as predictive controller, fuzzy control, neural networks and expert
systems. various combinations of these controllers give a number
of design possibilities.

model predictive control
classical mpc
the m ....etc

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Adaptive Network Based Fuzzy Inference Systems (ANFIS)



ANFIS is an adaptive network. An adaptive network is network of nodes and directional links. Associated with the network is a learning rule - for example back propagation. It s called adaptive because some, or all, of the nodes have parameters which affect the output of the node. These networks are learning a relationship between inputs and outputs.
Adaptive networks covers a number of different approaches but for our purposes we will investigate in some ....etc

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1. Introduction

In modern semiconductor devices, the effects of physical lattice strain are playing an increasingly important role. One reason for this is that as device dimensions have shrunk, strains due to lattice mismatch or differences in thermal expansion have become more prevalent. Another is that strain has become an important tool in modifying and enhancing the electrical properties of the semiconductor materials . Large strain induced gains in both electron and hole mobilities have been reported . In this article, we will ....etc

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Author-Neural Network module

Description

Provides the Neural Network Toolbox for Scilab.

ideas

There are several libraries. From these two main libraries, the library can be distinguished:

FANN: C library that implements the classic neurals networks and actively developed. For version 3, FANN will include recurrent neural networks, several accelerated neural networks (based on Blas or the GPU). It runs on Windows, Unix, MacOS;
SNNS: a tool with a graphical interface. This tool implements nearly all know neural networks (current, SOM, etc. ....etc

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