Penyakit jantung merupakan penyebab utama kematian yang menduduki peringkat satu di Indonesia. Oleh karena itu, dokter perlu mendeteksi sejak dini penyakit pada pasien. Dalam mendiagnosa diperlukan sebuah alat untuk mengetahui kondisi fisik jantung. Alat sering digunakan adalah Elektrokardiogram (EKG). EKG ini dapat memantau aktivitas listrik ditampilkan dalam bentuk grafik. Namun, dinilai belu...

First fuzzy controllers based on Zadeh's studies [1] of human-machine interaction, were simple expert systems designed on the basis of human operator experience as, for example, the steam engine controller of Mamdani and Assilian [2]. Although this approach has produced many successful applications e.g. [3], the common complaint is that the design procedure relies heavily on human judgement and...

Neural and neuro-fuzzy models are powerful nonlinear modelling tools. Different structures, with different properties, are widely used to capture static or dynamical nonlinear mappings. Static (non-recurrent) models share a common structure: a nonlinear stage, followed by a linear mapping. In this paper, the separability of linear and nonlinear parameters is exploited for completely supervised ...

REFERENCES 1. Dhalla IA, Mamdani MM, Sivilotti MLA, et al. Prescribing of opioid analgesics and related mortality before and after the introduction of long-acting oxycodone. CMAJ 2009;181:891-6. 2. Chou R, Fanciullo GJ, Fine PG, et al. American Pain Society-American Academy of Pain Medicine Opioids Guidelines Panel. Clinical guidelines for the use of chronic opioid therapy in chronic noncancer ...

In this paper, an efficient and accurate method for tomatoes sorting will proposed. first we extract features from inputted tomato image and then accurate and appropriate decision on Classification tomatoes using fuzzy the mamdani inference, adaptive fuzzy neural network (anfis) methods for each of that image. In our proposed system adaptive fuzzy neural network (anfis) has less error and syste...

An algorithm is presented that uses evolutionary programming to construct fuzzy membership functions that are used to extract Zadeh-Mamdani fuzzy rules from a constructive neural network. The algorithm has potential applications in fields such as data mining and knowledge-based decision support systems. Evaluation of the algorithm over two well known benchmark data sets shows that while the res...