... artificial **neural** networks with soft computing enables to construct learning ma- chines that are superior compared to classical artificial **neural** networks because knowledge can be extracted and explained in ...

10

... hybrid **Fuzzy** **Neural** **Network** (FNN) system for function approximation is ...and **fuzzy** inputs ...the **network** while the **Fuzzy** rule based knowledge is translated directly into ...

13

... the **neural** **network** to the classroom teaching quality ...the **neural** **network** in the teaching evaluation in terms of the idea and ...the **neural** **network**, this paper proposes a ...

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... fully **fuzzy** **neural** networks with **fuzzy** connection weights is long computa- tion ...partially **fuzzy** **neural** **network** (PFNN) architec- ture where connection weights to output unit ...

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... a **fuzzy** differential equation by using the strongly generalized differen- tiability ...of **fuzzy** **neural** **network** for the solution of differential equation with **fuzzy** initial value is ...

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... the **neural** **network** and **fuzzy** logic ...However, **fuzzy** logic technique is more accurate but it fully depends on expert knowledge, which sometime may not always available [13, ...[11]. ...

6

... the **network** input layer and output layer are respectively composed of same M neurons, and neuron number K of the middle layer is smaller than M Provide the same learning mode in the input layer and output ...

9

... According to this article, the date which is used to analysis comes from the Case Western Reserve university provides in the **network**. Gather the asynchronous machine four condition’s signals as normal, rolling ...

7

... a **fuzzy** **neural** **network** model using a back- propagation learning ...suggested **fuzzy**-**neural** **network** models for supervised and unsupervised ...implements **fuzzy** inference ...

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... Abstract: One of the broadly used internet attacks to deceive customers financially in banks and agencies is unknown “zero-day” phishing Emails “zero-day” phishing Emails is a new phishing email that it has not been ...

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... **neural** networks, such as, multi-layer perceptron, radial basis function networks, and **fuzzy** **neural** **network** (FNN), etc. can be selected. In this paper, the FNN is used as a non-linear filter. A ...

5

... a **fuzzy** **neural** **network** for clustering and ...this **fuzzy** **neural** **network** two training algorithm are implemented for clustering and ...General **Fuzzy** min max **Neural** ...

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... Unsupervised **Fuzzy** **Neural** **Network** (UFNN) of Kwan and Cai, and compose a new FNN with 6 types of **fuzzy** neurons and its associated self organizing supervised learning ...Supervised **Fuzzy** ...

15

... Based on this configuration, AGFINN model has been involved in forecasting the maximum (22h) and minimum (04h) price respectively. Best results were produced by including 20 **fuzzy** rules for the case of 22h, while ...

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... the **fuzzy** delta learning rule such that the input-output relation of each unit was defined by the Zadeh extension principle ...feed-forward **fuzzy** **neural** networks to find a real solution of a ...

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... The proliferation of computer networks increases the need for improved **network** management techniques. As computer networks expand, they become more complex as they attempt to support a more diverse selection of ...

5

... using **fuzzy** –**neural** ...using **fuzzy** clustering method. Then, by using **fuzzy** inference system, **fuzzy** rules based on related clusters and user’s interests are extracted and after acquiring ...

5

... artificial **neural** **network** (ANN) and **fuzzy** logic ...The **neural** **network** controller is employed to achieve the maximum power point (MPP) for different types of photo- voltaic (PV) ...

11

... The aforementioned research provided evidences of the estimation and/or prediction of evaporation only at gauged sites using ANNs. In this study, a hybrid computational model is proposed by combining the ANN and kriging ...

12

... In this research work, Functional Update Back Propagation Algorithm [13], Locally Weighted Projection Regression and **Fuzzy** Logic have been implemented. All the algorithms are able to train the lock status and ...

7