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[PDF] Top 20 Design of neuro-fuzzy models by evolutionary and gradient-based algorithms

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Design of neuro-fuzzy models by evolutionary and gradient-based algorithms

Design of neuro-fuzzy models by evolutionary and gradient-based algorithms

... proposed by Friedman ...set of truncated polynomial basis functions to represent piecewise ...generated by the product of truncated polynomial basis functions (functions set to zero when the ... See full document

428

Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets

Evolutionary Design of Decision-Tree Algorithms Tailored to Microarray Gene Expression Data Sets

... part of the original target data ...subset of the same target data ...different, and intu- itively more difficult goal, namely evolving the best decision- tree algorithm for a type of data set ... See full document

20

Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

Genetic programming and bacterial algorithm for neural networks and fuzzy systems design

... some evolutionary optimisation algorithms suitable for global optimisation of even non-linear, high-dimensional, multimodal, and discontinuous ...developed by Holland (Holland, 1992) ... See full document

6

Abstract — The physical topology design (PTD) of optical

Abstract — The physical topology design (PTD) of optical

... information of the problem to obtain a reasonable solution. Most of the works related to heuristics for PTD uses variations of branch exchange (BE) [7] or cut saturation (CS) ...use of ... See full document

14

Genetic terrain programming

Genetic terrain programming

... best of our knowledge, Teong Ong et ...an evolutionary approach to generate terrains. They proposed an evolutionary design optimisation technique to generate terrains by applying ... See full document

102

Classification Of Complex UCI Datasets Using Machine Learning And Evolutionary Algorithms

Classification Of Complex UCI Datasets Using Machine Learning And Evolutionary Algorithms

... classification models used for prediction. They are induced by machine learning ...consists of a hierarchical table in which each entry in a higher level table gets broken down by the values ... See full document

10

Recursive Neuro Fuzzy Techniques for Online Identification and Control

Recursive Neuro Fuzzy Techniques for Online Identification and Control

... model and controller design defined by several local models and con- trollers, two major theories have been selected ...i.e fuzzy modelling and neural ...erature by ... See full document

171

Multiobjective optimization of classifiers by means of 3-D convex Hull based evolutionary algorithms

Multiobjective optimization of classifiers by means of 3-D convex Hull based evolutionary algorithms

... contribution of this article is to extend the CH-EMOA to deal with 3-D ROCCH problems, by considering these additional objectives for the ...hull evolutionary multiobjective algorithm (3DCH-EMOA) can ... See full document

33

Procedural Optimization Models for Multiobjective Flexible JSSP

Procedural Optimization Models for Multiobjective Flexible JSSP

... optimization models are named unconventional models; they place the pro- cess model on a secondary layer and the pri- mary role in modeling is assessed here to a procedure that controls the ... See full document

12

IMPACT OF ALIFE SIMULATION OF DARWINIAN AND LAMARCKIAN EVOLUTIONARY THEORIES

IMPACT OF ALIFE SIMULATION OF DARWINIAN AND LAMARCKIAN EVOLUTIONARY THEORIES

... Theory of Inheritance of Acquired Characteristics, a theory mostly associated with the name of Jean-Baptiste Lamarck ...Life. Based on the two abstract models of Darwinian ... See full document

43

B-spline and neuro-fuzzy models design with function and derivative equalities

B-spline and neuro-fuzzy models design with function and derivative equalities

... structure of the network is assumed fixed. In this section, the structure of the network is evolved, by modifying a well known algorithm, ASMOD [2], and a recently proposed alternative [3], ... See full document

7

Analysis of Structure and Abrasion Resistance of the Metal Composite Based on an Intermetallic FeAl Phase with VC and TiC Precipitates

Analysis of Structure and Abrasion Resistance of the Metal Composite Based on an Intermetallic FeAl Phase with VC and TiC Precipitates

... composition of high-aluminium cast iron was superheated to a temperature of 1510°C, and then samples were cast at 1420°C for metallographic ...form of ferroalloy The titanium to second heat ... See full document

4

Design And Implementation Of Smart Living Room Wireless Control For Safety Purpose

Design And Implementation Of Smart Living Room Wireless Control For Safety Purpose

... program and designed circuit are tested with Proteus ...Bluetooth and android apk is also tested. Any kind of android phone which consists of bluetooth can be used by installing smart ... See full document

7

Evolutionary design of wireless sensor networks based on complex networks

Evolutionary design of wireless sensor networks based on complex networks

... for design- ing a wireless sensor network based on complex network ...approach based on genetic algorithms for finding a network configuration such that its communication structure presents ... See full document

6

A Comparison Between Five Models Of Software Engineering

A Comparison Between Five Models Of Software Engineering

... difficulty of enumerating such ...number of problems turning software an obstacle to software development particularly those relying on ...consists of documents and programs that contain a ... See full document

8

Neuro-Fuzzy Logic to Exploit and Classify MRI Brain Based Neoplasm and Execution of Lossless Compression

Neuro-Fuzzy Logic to Exploit and Classify MRI Brain Based Neoplasm and Execution of Lossless Compression

... information of patient and afford an accurate estimation. The neuro-fuzzy logic for pixel classification of medical images uses its neural network skill to study the membership degrees ... See full document

6

ENERGY EFFICIENT FLOW AND LEVEL CONTROL IN A HYDRO POWER PLANT USING FUZZY LOGIC

ENERGY EFFICIENT FLOW AND LEVEL CONTROL IN A HYDRO POWER PLANT USING FUZZY LOGIC

... objective and an innovative design of this work is to improve the energy efficiency by controlling the variables flow and level in a hydroelectric power plant using Programmable Logic ... See full document

9

An Assessment between Software Development Life  Cycle Models of Software Engineering

An Assessment between Software Development Life Cycle Models of Software Engineering

... model of software engineering. This model is one of the oldest models and is broadly used in government projects and in many major ...ensures design flaws before they develop. ... See full document

11

An integrated in silico approach to design specific inhibitors targeting human poly(a)-specific ribonuclease.

An integrated in silico approach to design specific inhibitors targeting human poly(a)-specific ribonuclease.

... first and often rate-limiting step in eukaryotic mRNA turnover is the shortening of the poly(A) tail ...deadenylation and it occurs both in the nucleus and in the ...levels and ... See full document

13

Evolutionary Based Type-2 Fuzzy Routing Protocol for Clustered Wireless Sensor

Evolutionary Based Type-2 Fuzzy Routing Protocol for Clustered Wireless Sensor

... density of neighbour sensor nodes and the distance to ...functions and parameters for output membership ...operations of proposed ...termination of the pre-specified number of ... See full document

11

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